diff --git a/.github/actions/python-build/action.yml b/.github/actions/python-build/action.yml
index 24c607d1..f943d51b 100644
--- a/.github/actions/python-build/action.yml
+++ b/.github/actions/python-build/action.yml
@@ -33,9 +33,9 @@ runs:
         mkdir -p wheels
       shell: bash
     - run: |
-        PROJECT_NAME="deepspeech"
+        PROJECT_NAME="stt"
         if [ "${{ inputs.build_flavor }}" = "tflite" ]; then
-          PROJECT_NAME="deepspeech-tflite"
+          PROJECT_NAME="stt-tflite"
         fi
 
         NUMPY_BUILD_VERSION="${{ inputs.numpy_build }}" \
diff --git a/.github/workflows/macOS-amd64.yml b/.github/workflows/macOS-amd64.yml
index 152413b7..5c3c64e8 100644
--- a/.github/workflows/macOS-amd64.yml
+++ b/.github/workflows/macOS-amd64.yml
@@ -135,8 +135,13 @@ jobs:
 
           ./bin/run-ci-ldc93s1_new.sh 249 ${bits}
           ./bin/run-ci-ldc93s1_tflite.sh ${bits}
-      - run: |
-          curl -vsSL https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/macOS.amd64.convert_graphdef_memmapped_format.xz | xz -d > /tmp/convert_graphdef_memmapped_format
+      - name: Download convert_graphdef_memmapped_format tool
+        run: |
+          set -ex
+          wget -O temp.zip https://github.com/coqui-ai/STT/releases/download/v0.9.3/convert_graphdef_memmapped_format.macOS.amd64.zip
+          unzip temp.zip
+          rm temp.zip
+          mv convert_graphdef_memmapped_format /tmp
           chmod +x /tmp/convert_graphdef_memmapped_format
           /tmp/convert_graphdef_memmapped_format --in_graph=/tmp/train/output_graph.pb --out_graph=/tmp/train/output_graph.pbmm
       - run: |
@@ -208,7 +213,7 @@ jobs:
           path: ${{ github.workspace }}/artifacts/home.tar.xz
         if: needs.tensorflow_opt-macOS.outputs.status == 'missing'
   build-lib_macOS:
-    name: "Build libdeepspeech.so and deepspeech C++ binary"
+    name: "Build libstt+client"
     runs-on: macos-10.15
     needs: [ build-tensorflow-macOS, tensorflow_opt-macOS ]
     strategy:
@@ -247,8 +252,8 @@ jobs:
           path: ${{ github.workspace }}/artifacts/native_client.tar.xz
       - uses: actions/upload-artifact@v2
         with:
-          name: "libdeepspeech.${{ matrix.build-flavor }}.zip"
-          path: ${{ github.workspace }}/artifacts/libdeepspeech.zip
+          name: "libstt.${{ matrix.build-flavor }}.zip"
+          path: ${{ github.workspace }}/artifacts/libstt.zip
   build-python-macOS:
     name: "Build python bindings for macOS"
     runs-on: macos-10.15
@@ -296,7 +301,7 @@ jobs:
           numpy_dep: "${{ steps.get_numpy.outputs.dep_version }}"
       - uses: actions/upload-artifact@v2
         with:
-          name: "deepspeech-${{ matrix.build-flavor }}-${{ matrix.python-version }}.whl"
+          name: "stt-${{ matrix.build-flavor }}-${{ matrix.python-version }}.whl"
           path: ${{ github.workspace }}/wheels/*.whl
   build-nodejs-macOS:
     name: "Build NodeJS and ElectronJS for macOS"
@@ -339,8 +344,8 @@ jobs:
           path: ${{ github.workspace }}/native_client/javascript/wrapper.tar.gz
       - uses: actions/upload-artifact@v2
         with:
-          name: "deepspeech-${{ matrix.build-flavor }}.tgz"
-          path: ${{ github.workspace }}/native_client/javascript/deepspeech-*.tgz
+          name: "stt-${{ matrix.build-flavor }}.tgz"
+          path: ${{ github.workspace }}/native_client/javascript/stt-*.tgz
   test-cpp-macOS:
     name: "Test C++ binary on macOS"
     runs-on: macos-10.15
@@ -353,9 +358,9 @@ jobs:
         bitrate: ["8k", "16k"]
     env:
       TASKCLUSTER_TMP_DIR: ${{ github.workspace }}/tmp/
-      DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-      DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
-      DEEPSPEECH_TEST_MODEL: ${{ github.workspace }}/tmp/output_graph.pb
+      STT_PROD_MODEL: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pb
+      STT_PROD_MODEL_MMAP: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+      STT_TEST_MODEL: ${{ github.workspace }}/tmp/output_graph.pb
       EXPECTED_TENSORFLOW_VERSION: "TensorFlow: v2.3.0-6-g23ad988"
     steps:
       - uses: actions/checkout@v2
@@ -395,9 +400,9 @@ jobs:
         bitrate: ["8k", "16k"]
     env:
       TASKCLUSTER_TMP_DIR: ${{ github.workspace }}/tmp/
-      DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-      DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
-      DEEPSPEECH_TEST_MODEL: ${{ github.workspace }}/tmp/output_graph.pb
+      STT_PROD_MODEL: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pb
+      STT_PROD_MODEL_MMAP: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+      STT_TEST_MODEL: ${{ github.workspace }}/tmp/output_graph.pb
       EXPECTED_TENSORFLOW_VERSION: "TensorFlow: v2.3.0-6-g23ad988"
     steps:
       - uses: actions/checkout@v2
@@ -408,7 +413,7 @@ jobs:
           python-version: ${{ matrix.python-version }}
       - uses: actions/download-artifact@v2
         with:
-          name: "deepspeech-${{ matrix.build-flavor }}-${{ matrix.python-version }}.whl"
+          name: "stt-${{ matrix.build-flavor }}-${{ matrix.python-version }}.whl"
           path: ${{ env.TASKCLUSTER_TMP_DIR }}
       - uses: actions/download-artifact@v2
         with:
@@ -420,7 +425,7 @@ jobs:
         if: matrix.models == 'test'
       - run: |
           ls -hal ${{ env.TASKCLUSTER_TMP_DIR }}/
-          pip3 install --only-binary :all: --upgrade ${{ env.TASKCLUSTER_TMP_DIR }}/deepspeech*.whl
+          pip3 install --only-binary :all: --upgrade ${{ env.TASKCLUSTER_TMP_DIR }}/stt*.whl
       - uses: ./.github/actions/run-tests
         with:
           runtime: "python"
@@ -441,9 +446,9 @@ jobs:
         bitrate: ["16k"]
     env:
       TASKCLUSTER_TMP_DIR: ${{ github.workspace }}/tmp/
-      DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-      DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
-      DEEPSPEECH_TEST_MODEL: ${{ github.workspace }}/tmp/output_graph.pb
+      STT_PROD_MODEL: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pb
+      STT_PROD_MODEL_MMAP: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+      STT_TEST_MODEL: ${{ github.workspace }}/tmp/output_graph.pb
       EXPECTED_TENSORFLOW_VERSION: "TensorFlow: v2.3.0-6-g23ad988"
     steps:
       - uses: actions/checkout@v2
@@ -454,7 +459,7 @@ jobs:
           node-version: ${{ matrix.nodejs-version }}
       - uses: actions/download-artifact@v2
         with:
-          name: "deepspeech-${{ matrix.build-flavor }}.tgz"
+          name: "stt-${{ matrix.build-flavor }}.tgz"
           path: ${{ env.TASKCLUSTER_TMP_DIR }}
       - uses: actions/download-artifact@v2
         with:
@@ -466,7 +471,7 @@ jobs:
         if: matrix.models == 'test'
       - run: |
           ls -hal ${{ env.TASKCLUSTER_TMP_DIR }}/
-          npm install ${{ env.TASKCLUSTER_TMP_DIR }}/deepspeech*.tgz
+          npm install ${{ env.TASKCLUSTER_TMP_DIR }}/stt*.tgz
       - uses: ./.github/actions/run-tests
         with:
           runtime: "node"
@@ -486,9 +491,9 @@ jobs:
         bitrate: ["16k"]
     env:
       TASKCLUSTER_TMP_DIR: ${{ github.workspace }}/tmp/
-      DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-      DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
-      DEEPSPEECH_TEST_MODEL: ${{ github.workspace }}/tmp/output_graph.pb
+      STT_PROD_MODEL: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pb
+      STT_PROD_MODEL_MMAP: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+      STT_TEST_MODEL: ${{ github.workspace }}/tmp/output_graph.pb
       EXPECTED_TENSORFLOW_VERSION: "TensorFlow: v2.3.0-6-g23ad988"
     steps:
       - uses: actions/checkout@v2
@@ -499,7 +504,7 @@ jobs:
           node-version: 12
       - uses: actions/download-artifact@v2
         with:
-          name: "deepspeech-${{ matrix.build-flavor }}.tgz"
+          name: "stt-${{ matrix.build-flavor }}.tgz"
           path: ${{ env.TASKCLUSTER_TMP_DIR }}
       - uses: actions/download-artifact@v2
         with:
@@ -511,7 +516,7 @@ jobs:
         if: matrix.models == 'test'
       - run: |
           ls -hal ${{ env.TASKCLUSTER_TMP_DIR }}/
-          npm install ${{ env.TASKCLUSTER_TMP_DIR }}/deepspeech*.tgz
+          npm install ${{ env.TASKCLUSTER_TMP_DIR }}/stt*.tgz
       - run: |
           npm install electron@${{ matrix.electronjs-version }}
       - uses: ./.github/actions/run-tests
diff --git a/.github/workflows/windows-amd64.yml b/.github/workflows/windows-amd64.yml
index 25a9099e..17ebb9e6 100644
--- a/.github/workflows/windows-amd64.yml
+++ b/.github/workflows/windows-amd64.yml
@@ -3,7 +3,7 @@ on:
   pull_request:
   push:
     branches:
-      - master
+      - main
 env:
   TASKCLUSTER_TASK_DIR: ${{ github.workspace }}
   TASKCLUSTER_ARTIFACTS: ${{ github.workspace }}/artifacts
@@ -180,7 +180,9 @@ jobs:
       - run: |
           pip install ds_ctcdecoder-*-cp36-cp36m-manylinux1_x86_64.whl
           DS_NODECODER=y pip install --upgrade .
-      - run: |
+      - name: Run training script
+        run: |
+          set -ex
           bits=""
           if [ "${{ matrix.bitrate }}" = "8k" ]; then
             bits=8000
@@ -194,12 +196,17 @@ jobs:
           echo "Moving ${bits} to LDC93S1.wav"
           mv data/smoke_test/LDC93S1_pcms16le_1_${bits}.wav data/smoke_test/LDC93S1.wav
 
-          ./bin/run-tc-ldc93s1_new.sh 249 ${bits}
+          ./bin/run-ci-ldc93s1_new.sh 249 ${bits}
           if [ "${{ matrix.build-flavor }}" = "tflite" ]; then
-            ./bin/run-tc-ldc93s1_tflite.sh ${bits}
+            ./bin/run-ci-ldc93s1_tflite.sh ${bits}
           fi
-      - run: |
-          curl -vsSL https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/linux.amd64.convert_graphdef_memmapped_format.xz | xz -d > /tmp/convert_graphdef_memmapped_format
+      - name: Download convert_graphdef_memmapped_format tool
+        run: |
+          set -ex
+          wget -O temp.zip https://github.com/coqui-ai/STT/releases/download/v0.9.3/convert_graphdef_memmapped_format.linux.amd64.zip
+          unzip temp.zip
+          rm temp.zip
+          mv convert_graphdef_memmapped_format /tmp
           chmod +x /tmp/convert_graphdef_memmapped_format
           /tmp/convert_graphdef_memmapped_format --in_graph=/tmp/train/output_graph.pb --out_graph=/tmp/train/output_graph.pbmm
         if: matrix.build-flavor == 'tf'
@@ -281,7 +288,7 @@ jobs:
           path: ${{ github.workspace }}/artifacts/home.tar.xz
         if: needs.tensorflow_opt-Windows.outputs.status == 'missing'
   build-lib_Windows:
-    name: "Build libdeepspeech.so and deepspeech C++ binary"
+    name: "Build libstt+client"
     runs-on: windows-2019
     needs: [build-tensorflow-Windows, tensorflow_opt-Windows]
     strategy:
@@ -330,8 +337,8 @@ jobs:
           path: ${{ github.workspace }}/artifacts/native_client.tar.xz
       - uses: actions/upload-artifact@v2
         with:
-          name: "libdeepspeech.${{ matrix.build-flavor }}.zip"
-          path: ${{ github.workspace }}/artifacts/libdeepspeech.zip
+          name: "libstt.${{ matrix.build-flavor }}.zip"
+          path: ${{ github.workspace }}/artifacts/libstt.zip
   build-python-Windows:
     name: "Build Python bindings for Windows"
     runs-on: windows-2019
@@ -390,7 +397,7 @@ jobs:
           numpy_dep: "${{ steps.get_numpy.outputs.dep_version }}"
       - uses: actions/upload-artifact@v2
         with:
-          name: "deepspeech-${{ matrix.build-flavor }}-${{ matrix.python-version }}.whl"
+          name: "stt-${{ matrix.build-flavor }}-${{ matrix.python-version }}.whl"
           path: ${{ github.workspace }}/wheels/*.whl
   build-nodejs-Windows:
     name: "Build NodeJS/ElectronJS for Windows"
@@ -445,8 +452,8 @@ jobs:
           path: ${{ github.workspace }}/native_client/javascript/wrapper.tar.gz
       - uses: actions/upload-artifact@v2
         with:
-          name: "deepspeech-${{ matrix.build-flavor }}.tgz"
-          path: ${{ github.workspace }}/native_client/javascript/deepspeech-*.tgz
+          name: "stt-${{ matrix.build-flavor }}.tgz"
+          path: ${{ github.workspace }}/native_client/javascript/stt-*.tgz
   test-cpp-Windows:
     name: "Test C++ binary on Windows"
     runs-on: windows-2019
@@ -456,7 +463,7 @@ jobs:
         build-flavor: ["tf", "tflite"]
     env:
       TASKCLUSTER_TMP_DIR: tmp/
-      DEEPSPEECH_TEST_MODEL: tmp/output_graph.pb
+      STT_TEST_MODEL: tmp/output_graph.pb
       EXPECTED_TENSORFLOW_VERSION: "TensorFlow: v2.3.0-6-g23ad988"
     steps:
       - name: Switch git-bash shell to MSYS2 shell by adding MSYS2 path to PATH front
@@ -504,9 +511,9 @@ jobs:
         bitrate: ["8k", "16k"]
     env:
       TASKCLUSTER_TMP_DIR: tmp/
-      DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-      DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
-      DEEPSPEECH_TEST_MODEL: tmp/output_graph.pb
+      STT_PROD_MODEL: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pb
+      STT_PROD_MODEL_MMAP: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+      STT_TEST_MODEL: tmp/output_graph.pb
       EXPECTED_TENSORFLOW_VERSION: "TensorFlow: v2.3.0-6-g23ad988"
     steps:
       - name: Switch git-bash shell to MSYS2 shell by adding MSYS2 path to PATH front
@@ -524,7 +531,7 @@ jobs:
       - uses: ./.github/actions/win-install-sox
       - uses: actions/download-artifact@v2
         with:
-          name: "deepspeech-${{ matrix.build-flavor }}-${{ matrix.python-version }}.whl"
+          name: "stt-${{ matrix.build-flavor }}-${{ matrix.python-version }}.whl"
           path: ${{ env.TASKCLUSTER_TMP_DIR }}
       - uses: actions/download-artifact@v2
         with:
@@ -536,7 +543,7 @@ jobs:
         if: matrix.models == 'test'
       - run: |
           ls -hal ${{ env.TASKCLUSTER_TMP_DIR }}/
-          python -m pip install --only-binary :all: --upgrade ${{ env.TASKCLUSTER_TMP_DIR }}/deepspeech*.whl
+          python -m pip install --only-binary :all: --upgrade ${{ env.TASKCLUSTER_TMP_DIR }}/stt*.whl
       - uses: ./.github/actions/run-tests
         with:
           runtime: "python"
@@ -556,9 +563,9 @@ jobs:
         bitrate: ["16k"]
     env:
       TASKCLUSTER_TMP_DIR: tmp/
-      DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-      DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
-      DEEPSPEECH_TEST_MODEL: tmp/output_graph.pb
+      STT_PROD_MODEL: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pb
+      STT_PROD_MODEL_MMAP: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+      STT_TEST_MODEL: tmp/output_graph.pb
       EXPECTED_TENSORFLOW_VERSION: "TensorFlow: v2.3.0-6-g23ad988"
     steps:
       - name: Switch git-bash shell to MSYS2 shell by adding MSYS2 path to PATH front
@@ -576,7 +583,7 @@ jobs:
       - uses: ./.github/actions/win-install-sox
       - uses: actions/download-artifact@v2
         with:
-          name: "deepspeech-${{ matrix.build-flavor }}.tgz"
+          name: "stt-${{ matrix.build-flavor }}.tgz"
           path: ${{ env.TASKCLUSTER_TMP_DIR }}
       - uses: actions/download-artifact@v2
         with:
@@ -588,7 +595,7 @@ jobs:
         if: matrix.models == 'test'
       - run: |
           ls -hal ${{ env.TASKCLUSTER_TMP_DIR }}/
-          npm install ${{ env.TASKCLUSTER_TMP_DIR }}/deepspeech*.tgz
+          npm install ${{ env.TASKCLUSTER_TMP_DIR }}/stt*.tgz
       - uses: ./.github/actions/run-tests
         with:
           runtime: "node"
@@ -608,9 +615,9 @@ jobs:
         bitrate: ["16k"]
     env:
       TASKCLUSTER_TMP_DIR: tmp/
-      DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-      DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
-      DEEPSPEECH_TEST_MODEL: tmp/output_graph.pb
+      STT_PROD_MODEL: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pb
+      STT_PROD_MODEL_MMAP: https://github.com/reuben/STT/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+      STT_TEST_MODEL: tmp/output_graph.pb
       EXPECTED_TENSORFLOW_VERSION: "TensorFlow: v2.3.0-6-g23ad988"
     steps:
       - name: Switch git-bash shell to MSYS2 shell by adding MSYS2 path to PATH front
@@ -628,7 +635,7 @@ jobs:
       - uses: ./.github/actions/win-install-sox
       - uses: actions/download-artifact@v2
         with:
-          name: "deepspeech-${{ matrix.build-flavor }}.tgz"
+          name: "stt-${{ matrix.build-flavor }}.tgz"
           path: ${{ env.TASKCLUSTER_TMP_DIR }}
       - uses: actions/download-artifact@v2
         with:
@@ -638,10 +645,10 @@ jobs:
       - run: |
           ls -hal ${{ env.TASKCLUSTER_TMP_DIR }}/
         if: matrix.models == 'test'
-      - name: Install deepspeech NodeJS package
+      - name: Install STT NodeJS package
         run: |
           ls -hal ${{ env.TASKCLUSTER_TMP_DIR }}/
-          npm install ${{ env.TASKCLUSTER_TMP_DIR }}/deepspeech*.tgz
+          npm install ${{ env.TASKCLUSTER_TMP_DIR }}/stt*.tgz
       - run: |
           npm install electron@${{ matrix.electronjs-version }}
       - uses: ./.github/actions/run-tests
diff --git a/ci_scripts/all-utils.sh b/ci_scripts/all-utils.sh
index 6dbccb77..6df7def8 100755
--- a/ci_scripts/all-utils.sh
+++ b/ci_scripts/all-utils.sh
@@ -85,7 +85,7 @@ verify_bazel_rebuild()
 
   cp ${DS_DSDIR}/tensorflow/bazel*.log ${TASKCLUSTER_ARTIFACTS}/
 
-  spurious_rebuilds=$(grep 'Executing action' "${bazel_explain_file}" | grep 'Compiling' | grep -v -E 'no entry in the cache|[for host]|unconditional execution is requested|Executing genrule //native_client:workspace_status|Compiling native_client/workspace_status.cc|Linking native_client/libdeepspeech.so' | wc -l)
+  spurious_rebuilds=$(grep 'Executing action' "${bazel_explain_file}" | grep 'Compiling' | grep -v -E 'no entry in the cache|[for host]|unconditional execution is requested|Executing genrule //native_client:workspace_status|Compiling native_client/workspace_status.cc|Linking native_client/libstt.so' | wc -l)
   if [ "${spurious_rebuilds}" -ne 0 ]; then
     echo "Bazel rebuilds some file it should not, please check."
 
diff --git a/ci_scripts/all-vars.sh b/ci_scripts/all-vars.sh
index 906232de..3b7d9d3d 100755
--- a/ci_scripts/all-vars.sh
+++ b/ci_scripts/all-vars.sh
@@ -54,11 +54,11 @@ export DS_TFDIR=${DS_ROOT_TASK}/tensorflow
 export DS_DSDIR=${DS_ROOT_TASK}/
 export DS_EXAMPLEDIR=${DS_ROOT_TASK}/examples
 
-export DS_VERSION="$(cat ${DS_DSDIR}/training/deepspeech_training/VERSION)"
+export DS_VERSION="$(cat ${DS_DSDIR}/training/coqui_stt_training/VERSION)"
 
 export GRADLE_USER_HOME=${DS_ROOT_TASK}/gradle-cache
-export ANDROID_SDK_HOME=${DS_ROOT_TASK}/DeepSpeech/Android/SDK/
-export ANDROID_NDK_HOME=${DS_ROOT_TASK}/DeepSpeech/Android/android-ndk-r18b/
+export ANDROID_SDK_HOME=${DS_ROOT_TASK}/STT/Android/SDK/
+export ANDROID_NDK_HOME=${DS_ROOT_TASK}/STT/Android/android-ndk-r18b/
 
 WGET=${WGET:-"wget"}
 TAR=${TAR:-"tar"}
@@ -78,7 +78,7 @@ if [ "${OS}" = "${TC_MSYS_VERSION}" ]; then
   UNXZ="xz -9 -T0 -d"
 fi
 
-model_source="${DEEPSPEECH_TEST_MODEL}"
+model_source="${STT_TEST_MODEL}"
 model_name="$(basename "${model_source}")"
 model_name_mmap="$(basename -s ".pb" "${model_source}").pbmm"
 model_source_mmap="$(dirname "${model_source}")/${model_name_mmap}"
diff --git a/ci_scripts/asserts.sh b/ci_scripts/asserts.sh
index a89fbee8..e75e662d 100755
--- a/ci_scripts/asserts.sh
+++ b/ci_scripts/asserts.sh
@@ -251,9 +251,9 @@ assert_tensorflow_version()
   assert_shows_something "$1" "${EXPECTED_TENSORFLOW_VERSION}"
 }
 
-assert_deepspeech_version()
+assert_stt_version()
 {
-  assert_not_present "$1" "DeepSpeech: unknown"
+  assert_not_present "$1" "Coqui STT: unknown"
 }
 
 # We need to ensure that running on inference really leverages GPU because
@@ -261,7 +261,7 @@ assert_deepspeech_version()
 ensure_cuda_usage()
 {
   local _maybe_cuda=$1
-  DS_BINARY_FILE=${DS_BINARY_FILE:-"deepspeech"}
+  DS_BINARY_FILE=${DS_BINARY_FILE:-"stt"}
 
   if [ "${_maybe_cuda}" = "cuda" ]; then
     set +e
@@ -278,19 +278,19 @@ ensure_cuda_usage()
 check_versions()
 {
   set +e
-  ds_help=$(${DS_BINARY_PREFIX}deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>&1 1>/dev/null)
+  ds_help=$(${DS_BINARY_PREFIX}stt --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>&1 1>/dev/null)
   set -e
 
   assert_tensorflow_version "${ds_help}"
-  assert_deepspeech_version "${ds_help}"
+  assert_stt_version "${ds_help}"
 }
 
-assert_deepspeech_runtime()
+assert_stt_runtime()
 {
   local expected_runtime=$1
 
   set +e
-  local ds_version=$(${DS_BINARY_PREFIX}deepspeech --version 2>&1)
+  local ds_version=$(${DS_BINARY_PREFIX}stt --version 2>&1)
   set -e
 
   assert_shows_something "${ds_version}" "${expected_runtime}"
@@ -298,23 +298,23 @@ assert_deepspeech_runtime()
 
 check_runtime_nodejs()
 {
-  assert_deepspeech_runtime "Runtime: Node"
+  assert_stt_runtime "Runtime: Node"
 }
 
 check_runtime_electronjs()
 {
-  assert_deepspeech_runtime "Runtime: Electron"
+  assert_stt_runtime "Runtime: Electron"
 }
 
 run_tflite_basic_inference_tests()
 {
   set +e
-  phrase_pbmodel_nolm=$(${DS_BINARY_PREFIX}deepspeech --model ${DATA_TMP_DIR}/${model_name} --audio ${DATA_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_nolm=$(${DS_BINARY_PREFIX}stt --model ${DATA_TMP_DIR}/${model_name} --audio ${DATA_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   set -e
   assert_correct_ldc93s1 "${phrase_pbmodel_nolm}" "$?"
 
   set +e
-  phrase_pbmodel_nolm=$(${DS_BINARY_PREFIX}deepspeech --model ${DATA_TMP_DIR}/${model_name} --audio ${DATA_TMP_DIR}/${ldc93s1_sample_filename} --extended 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_nolm=$(${DS_BINARY_PREFIX}stt --model ${DATA_TMP_DIR}/${model_name} --audio ${DATA_TMP_DIR}/${ldc93s1_sample_filename} --extended 2>${TASKCLUSTER_TMP_DIR}/stderr)
   set -e
   assert_correct_ldc93s1 "${phrase_pbmodel_nolm}" "$?"
 }
@@ -322,22 +322,22 @@ run_tflite_basic_inference_tests()
 run_netframework_inference_tests()
 {
   set +e
-  phrase_pbmodel_nolm=$(DeepSpeechConsole.exe --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_nolm=$(STTConsole.exe --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   set -e
   assert_working_ldc93s1 "${phrase_pbmodel_nolm}" "$?"
 
   set +e
-  phrase_pbmodel_nolm=$(DeepSpeechConsole.exe --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --extended yes 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_nolm=$(STTConsole.exe --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --extended yes 2>${TASKCLUSTER_TMP_DIR}/stderr)
   set -e
   assert_working_ldc93s1 "${phrase_pbmodel_nolm}" "$?"
 
   set +e
-  phrase_pbmodel_nolm=$(DeepSpeechConsole.exe --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_nolm=$(STTConsole.exe --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   set -e
   assert_working_ldc93s1 "${phrase_pbmodel_nolm}" "$?"
 
   set +e
-  phrase_pbmodel_withlm=$(DeepSpeechConsole.exe --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_withlm=$(STTConsole.exe --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   set -e
   assert_working_ldc93s1_lm "${phrase_pbmodel_withlm}" "$?"
 }
@@ -345,22 +345,22 @@ run_netframework_inference_tests()
 run_electronjs_inference_tests()
 {
   set +e
-  phrase_pbmodel_nolm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_nolm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   set -e
   assert_working_ldc93s1 "${phrase_pbmodel_nolm}" "$?"
 
   set +e
-  phrase_pbmodel_nolm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --extended 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_nolm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --extended 2>${TASKCLUSTER_TMP_DIR}/stderr)
   set -e
   assert_working_ldc93s1 "${phrase_pbmodel_nolm}" "$?"
 
   set +e
-  phrase_pbmodel_nolm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_nolm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   set -e
   assert_working_ldc93s1 "${phrase_pbmodel_nolm}" "$?"
 
   set +e
-  phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_withlm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   set -e
   assert_working_ldc93s1_lm "${phrase_pbmodel_withlm}" "$?"
 }
@@ -368,30 +368,30 @@ run_electronjs_inference_tests()
 run_basic_inference_tests()
 {
   set +e
-  deepspeech --model "" --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr
+  stt --model "" --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr
   set -e
   grep "Missing model information" ${TASKCLUSTER_TMP_DIR}/stderr
 
   set +e
-  phrase_pbmodel_nolm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_nolm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
   set -e
   assert_correct_ldc93s1 "${phrase_pbmodel_nolm}" "$status"
 
   set +e
-  phrase_pbmodel_nolm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --extended 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_nolm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --extended 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
   set -e
   assert_correct_ldc93s1 "${phrase_pbmodel_nolm}" "$status"
 
   set +e
-  phrase_pbmodel_nolm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_nolm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
   set -e
   assert_correct_ldc93s1 "${phrase_pbmodel_nolm}" "$status"
 
   set +e
-  phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_withlm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
   set -e
   assert_correct_ldc93s1_lm "${phrase_pbmodel_withlm}" "$status"
@@ -402,13 +402,13 @@ run_all_inference_tests()
   run_basic_inference_tests
 
   set +e
-  phrase_pbmodel_nolm_stereo_44k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_2_44100.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_nolm_stereo_44k=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_2_44100.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
   set -e
   assert_correct_ldc93s1 "${phrase_pbmodel_nolm_stereo_44k}" "$status"
 
   set +e
-  phrase_pbmodel_withlm_stereo_44k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_2_44100.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_withlm_stereo_44k=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_2_44100.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
   set -e
   assert_correct_ldc93s1_lm "${phrase_pbmodel_withlm_stereo_44k}" "$status"
@@ -416,12 +416,12 @@ run_all_inference_tests()
   # Run down-sampling warning test only when we actually perform downsampling
   if [ "${ldc93s1_sample_filename}" != "LDC93S1_pcms16le_1_8000.wav" ]; then
     set +e
-    phrase_pbmodel_nolm_mono_8k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_1_8000.wav 2>&1 1>/dev/null)
+    phrase_pbmodel_nolm_mono_8k=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_1_8000.wav 2>&1 1>/dev/null)
     set -e
     assert_correct_warning_upsampling "${phrase_pbmodel_nolm_mono_8k}"
 
     set +e
-    phrase_pbmodel_withlm_mono_8k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_1_8000.wav 2>&1 1>/dev/null)
+    phrase_pbmodel_withlm_mono_8k=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_1_8000.wav 2>&1 1>/dev/null)
     set -e
     assert_correct_warning_upsampling "${phrase_pbmodel_withlm_mono_8k}"
   fi;
@@ -452,19 +452,19 @@ run_prod_inference_tests()
   local _bitrate=$1
 
   set +e
-  phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_withlm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
   set -e
   assert_correct_ldc93s1_prodmodel "${phrase_pbmodel_withlm}" "$status" "${_bitrate}"
 
   set +e
-  phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_withlm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
   set -e
   assert_correct_ldc93s1_prodmodel "${phrase_pbmodel_withlm}" "$status" "${_bitrate}"
 
   set +e
-  phrase_pbmodel_withlm_stereo_44k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_2_44100.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_withlm_stereo_44k=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_2_44100.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
   set -e
   assert_correct_ldc93s1_prodmodel_stereo_44k "${phrase_pbmodel_withlm_stereo_44k}" "$status"
@@ -472,7 +472,7 @@ run_prod_inference_tests()
   # Run down-sampling warning test only when we actually perform downsampling
   if [ "${ldc93s1_sample_filename}" != "LDC93S1_pcms16le_1_8000.wav" ]; then
     set +e
-    phrase_pbmodel_withlm_mono_8k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_1_8000.wav 2>&1 1>/dev/null)
+    phrase_pbmodel_withlm_mono_8k=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_1_8000.wav 2>&1 1>/dev/null)
     set -e
     assert_correct_warning_upsampling "${phrase_pbmodel_withlm_mono_8k}"
   fi;
@@ -483,19 +483,19 @@ run_prodtflite_inference_tests()
   local _bitrate=$1
 
   set +e
-  phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_withlm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
   set -e
   assert_correct_ldc93s1_prodtflitemodel "${phrase_pbmodel_withlm}" "$status" "${_bitrate}"
 
   set +e
-  phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_withlm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
   set -e
   assert_correct_ldc93s1_prodtflitemodel "${phrase_pbmodel_withlm}" "$status" "${_bitrate}"
 
   set +e
-  phrase_pbmodel_withlm_stereo_44k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_2_44100.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  phrase_pbmodel_withlm_stereo_44k=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_2_44100.wav 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
   set -e
   assert_correct_ldc93s1_prodtflitemodel_stereo_44k "${phrase_pbmodel_withlm_stereo_44k}" "$status"
@@ -503,7 +503,7 @@ run_prodtflite_inference_tests()
   # Run down-sampling warning test only when we actually perform downsampling
   if [ "${ldc93s1_sample_filename}" != "LDC93S1_pcms16le_1_8000.wav" ]; then
     set +e
-    phrase_pbmodel_withlm_mono_8k=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_1_8000.wav 2>&1 1>/dev/null)
+    phrase_pbmodel_withlm_mono_8k=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/LDC93S1_pcms16le_1_8000.wav 2>&1 1>/dev/null)
     set -e
     assert_correct_warning_upsampling "${phrase_pbmodel_withlm_mono_8k}"
   fi;
@@ -512,13 +512,13 @@ run_prodtflite_inference_tests()
 run_multi_inference_tests()
 {
   set +e -o pipefail
-  multi_phrase_pbmodel_nolm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/ 2>${TASKCLUSTER_TMP_DIR}/stderr | tr '\n' '%')
+  multi_phrase_pbmodel_nolm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name} --audio ${TASKCLUSTER_TMP_DIR}/ 2>${TASKCLUSTER_TMP_DIR}/stderr | tr '\n' '%')
   status=$?
   set -e +o pipefail
   assert_correct_multi_ldc93s1 "${multi_phrase_pbmodel_nolm}" "$status"
 
   set +e -o pipefail
-  multi_phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/ 2>${TASKCLUSTER_TMP_DIR}/stderr | tr '\n' '%')
+  multi_phrase_pbmodel_withlm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/ 2>${TASKCLUSTER_TMP_DIR}/stderr | tr '\n' '%')
   status=$?
   set -e +o pipefail
   assert_correct_multi_ldc93s1 "${multi_phrase_pbmodel_withlm}" "$status"
@@ -526,7 +526,7 @@ run_multi_inference_tests()
 
 run_hotword_tests()
 {
-  DS_BINARY_FILE=${DS_BINARY_FILE:-"deepspeech"}
+  DS_BINARY_FILE=${DS_BINARY_FILE:-"stt"}
   set +e
   hotwords_decode=$(${DS_BINARY_PREFIX}${DS_BINARY_FILE} --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --hot_words "foo:0.0,bar:-0.1" 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
@@ -537,7 +537,7 @@ run_hotword_tests()
 run_android_hotword_tests()
 {
   set +e
-  hotwords_decode=$(${DS_BINARY_PREFIX}deepspeech --model ${DATA_TMP_DIR}/${model_name} --scorer ${DATA_TMP_DIR}/kenlm.scorer --audio ${DATA_TMP_DIR}/${ldc93s1_sample_filename} --hot_words "foo:0.0,bar:-0.1" 2>${TASKCLUSTER_TMP_DIR}/stderr)
+  hotwords_decode=$(${DS_BINARY_PREFIX}stt --model ${DATA_TMP_DIR}/${model_name} --scorer ${DATA_TMP_DIR}/kenlm.scorer --audio ${DATA_TMP_DIR}/${ldc93s1_sample_filename} --hot_words "foo:0.0,bar:-0.1" 2>${TASKCLUSTER_TMP_DIR}/stderr)
   status=$?
   set -e
   assert_correct_ldc93s1_lm "${hotwords_decode}" "$status"
@@ -546,7 +546,7 @@ run_android_hotword_tests()
 run_cpp_only_inference_tests()
 {
   set +e
-  phrase_pbmodel_withlm_intermediate_decode=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream 1280 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
+  phrase_pbmodel_withlm_intermediate_decode=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream 1280 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
   status=$?
   set -e
   assert_correct_ldc93s1_lm "${phrase_pbmodel_withlm_intermediate_decode}" "$status"
@@ -555,13 +555,13 @@ run_cpp_only_inference_tests()
 run_js_streaming_inference_tests()
 {
   set +e
-  phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
+  phrase_pbmodel_withlm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
   status=$?
   set -e
   assert_correct_ldc93s1_lm "${phrase_pbmodel_withlm}" "$status"
 
   set +e
-  phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream --extended 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
+  phrase_pbmodel_withlm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream --extended 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
   status=$?
   set -e
   assert_correct_ldc93s1_lm "${phrase_pbmodel_withlm}" "$status"
@@ -571,14 +571,14 @@ run_js_streaming_prod_inference_tests()
 {
   local _bitrate=$1
   set +e
-  phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
+  phrase_pbmodel_withlm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
   status=$?
   set -e
   assert_correct_ldc93s1_prodmodel "${phrase_pbmodel_withlm}" "$status" "${_bitrate}"
 
   local _bitrate=$1
   set +e
-  phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream --extended 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
+  phrase_pbmodel_withlm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream --extended 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
   status=$?
   set -e
   assert_correct_ldc93s1_prodmodel "${phrase_pbmodel_withlm}" "$status" "${_bitrate}"
@@ -588,14 +588,14 @@ run_js_streaming_prodtflite_inference_tests()
 {
   local _bitrate=$1
   set +e
-  phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
+  phrase_pbmodel_withlm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
   status=$?
   set -e
   assert_correct_ldc93s1_prodtflitemodel "${phrase_pbmodel_withlm}" "$status" "${_bitrate}"
 
   local _bitrate=$1
   set +e
-  phrase_pbmodel_withlm=$(deepspeech --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream --extended 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
+  phrase_pbmodel_withlm=$(stt --model ${TASKCLUSTER_TMP_DIR}/${model_name_mmap} --scorer ${TASKCLUSTER_TMP_DIR}/kenlm.scorer --audio ${TASKCLUSTER_TMP_DIR}/${ldc93s1_sample_filename} --stream --extended 2>${TASKCLUSTER_TMP_DIR}/stderr | tail -n 1)
   status=$?
   set -e
   assert_correct_ldc93s1_prodtflitemodel "${phrase_pbmodel_withlm}" "$status" "${_bitrate}"
diff --git a/ci_scripts/build-utils.sh b/ci_scripts/build-utils.sh
index a16123f9..32974eb3 100755
--- a/ci_scripts/build-utils.sh
+++ b/ci_scripts/build-utils.sh
@@ -32,7 +32,7 @@ shutdown_bazel()
   bazel ${BAZEL_OUTPUT_USER_ROOT} shutdown
 }
 
-do_deepspeech_binary_build()
+do_stt_binary_build()
 {
   cd ${DS_DSDIR}
   make -C native_client/ \
@@ -42,5 +42,5 @@ do_deepspeech_binary_build()
     EXTRA_CFLAGS="${EXTRA_LOCAL_CFLAGS}" \
     EXTRA_LDFLAGS="${EXTRA_LOCAL_LDFLAGS}" \
     EXTRA_LIBS="${EXTRA_LOCAL_LIBS}" \
-    deepspeech${PLATFORM_EXE_SUFFIX}
+    stt${PLATFORM_EXE_SUFFIX}
 }
diff --git a/ci_scripts/cpp-tests-prod.sh b/ci_scripts/cpp-tests-prod.sh
index 1a9e1ea3..a0c0eb7a 100755
--- a/ci_scripts/cpp-tests-prod.sh
+++ b/ci_scripts/cpp-tests-prod.sh
@@ -9,10 +9,10 @@ source $(dirname "$0")/asserts.sh
 bitrate=$1
 set_ldc_sample_filename "${bitrate}"
 
-model_source=${DEEPSPEECH_PROD_MODEL}
+model_source=${STT_PROD_MODEL}
 model_name=$(basename "${model_source}")
 
-model_source_mmap=${DEEPSPEECH_PROD_MODEL_MMAP}
+model_source_mmap=${STT_PROD_MODEL_MMAP}
 model_name_mmap=$(basename "${model_source_mmap}")
 
 download_model_prod
diff --git a/ci_scripts/cpp_tflite-tests-prod.sh b/ci_scripts/cpp_tflite-tests-prod.sh
index 9ecb1528..3a4ab453 100755
--- a/ci_scripts/cpp_tflite-tests-prod.sh
+++ b/ci_scripts/cpp_tflite-tests-prod.sh
@@ -9,10 +9,10 @@ source $(dirname "$0")/asserts.sh
 bitrate=$1
 set_ldc_sample_filename "${bitrate}"
 
-model_source=${DEEPSPEECH_PROD_MODEL//.pb/.tflite}
+model_source=${STT_PROD_MODEL//.pb/.tflite}
 model_name=$(basename "${model_source}")
 model_name_mmap=$(basename "${model_source}")
-model_source_mmap=${DEEPSPEECH_PROD_MODEL_MMAP//.pbmm/.tflite}
+model_source_mmap=${STT_PROD_MODEL_MMAP//.pbmm/.tflite}
 export DATA_TMP_DIR=${TASKCLUSTER_TMP_DIR}
 
 download_model_prod
diff --git a/ci_scripts/cpp_tflite-tests.sh b/ci_scripts/cpp_tflite-tests.sh
index f03029d6..b8733b44 100755
--- a/ci_scripts/cpp_tflite-tests.sh
+++ b/ci_scripts/cpp_tflite-tests.sh
@@ -9,7 +9,7 @@ source $(dirname "$0")/asserts.sh
 bitrate=$1
 set_ldc_sample_filename "${bitrate}"
 
-model_source=${DEEPSPEECH_TEST_MODEL//.pb/.tflite}
+model_source=${STT_TEST_MODEL//.pb/.tflite}
 model_name=$(basename "${model_source}")
 model_name_mmap=$(basename "${model_source}")
 export DATA_TMP_DIR=${TASKCLUSTER_TMP_DIR}
diff --git a/ci_scripts/cpp_tflite_basic-tests.sh b/ci_scripts/cpp_tflite_basic-tests.sh
index 830ca675..fe7947c0 100755
--- a/ci_scripts/cpp_tflite_basic-tests.sh
+++ b/ci_scripts/cpp_tflite_basic-tests.sh
@@ -9,7 +9,7 @@ source $(dirname "$0")/asserts.sh
 bitrate=$1
 set_ldc_sample_filename "${bitrate}"
 
-model_source=${DEEPSPEECH_TEST_MODEL//.pb/.tflite}
+model_source=${STT_TEST_MODEL//.pb/.tflite}
 model_name=$(basename "${model_source}")
 export DATA_TMP_DIR=${TASKCLUSTER_TMP_DIR}
 
diff --git a/ci_scripts/cppwin_tflite-tests.sh b/ci_scripts/cppwin_tflite-tests.sh
index 884ced1d..9cf76d57 100755
--- a/ci_scripts/cppwin_tflite-tests.sh
+++ b/ci_scripts/cppwin_tflite-tests.sh
@@ -9,7 +9,7 @@ source $(dirname "$0")/asserts.sh
 bitrate=$1
 set_ldc_sample_filename "${bitrate}"
 
-model_source=${DEEPSPEECH_TEST_MODEL//.pb/.tflite}
+model_source=${STT_TEST_MODEL//.pb/.tflite}
 model_name=$(basename "${model_source}")
 model_name_mmap=$(basename "${model_source}")
 export DATA_TMP_DIR=${TASKCLUSTER_TMP_DIR}
diff --git a/ci_scripts/electronjs-tests.sh b/ci_scripts/electronjs-tests.sh
index c27e0a50..061f5720 100755
--- a/ci_scripts/electronjs-tests.sh
+++ b/ci_scripts/electronjs-tests.sh
@@ -23,7 +23,7 @@ which node
 
 node --version
 
-deepspeech --version
+stt --version
 
 check_runtime_electronjs
 
diff --git a/ci_scripts/electronjs_tflite-tests.sh b/ci_scripts/electronjs_tflite-tests.sh
index e8f5e46f..cd5f015b 100755
--- a/ci_scripts/electronjs_tflite-tests.sh
+++ b/ci_scripts/electronjs_tflite-tests.sh
@@ -9,7 +9,7 @@ source $(dirname "$0")/asserts.sh
 bitrate=$1
 set_ldc_sample_filename "${bitrate}"
 
-model_source=${DEEPSPEECH_TEST_MODEL//.pb/.tflite}
+model_source=${STT_TEST_MODEL//.pb/.tflite}
 model_name=$(basename "${model_source}")
 model_name_mmap=$(basename "${model_source}")
 
@@ -27,7 +27,7 @@ which node
 
 node --version
 
-deepspeech --version
+stt --version
 
 check_runtime_electronjs
 
diff --git a/ci_scripts/host-build.sh b/ci_scripts/host-build.sh
index e7997f1c..36afa054 100755
--- a/ci_scripts/host-build.sh
+++ b/ci_scripts/host-build.sh
@@ -11,7 +11,7 @@ source $(dirname "$0")/build-utils.sh
 source $(dirname "$0")/tf-vars.sh
 
 BAZEL_TARGETS="
-//native_client:libdeepspeech.so
+//native_client:libstt.so
 //native_client:generate_scorer_package
 "
 
@@ -25,4 +25,4 @@ SYSTEM_TARGET=host
 
 do_bazel_build
 
-do_deepspeech_binary_build
+do_stt_binary_build
diff --git a/ci_scripts/node-tests-prod.sh b/ci_scripts/node-tests-prod.sh
index 8d03de40..1dd6dff6 100755
--- a/ci_scripts/node-tests-prod.sh
+++ b/ci_scripts/node-tests-prod.sh
@@ -9,10 +9,10 @@ source $(dirname "$0")/asserts.sh
 bitrate=$1
 set_ldc_sample_filename "${bitrate}"
 
-model_source=${DEEPSPEECH_PROD_MODEL}
+model_source=${STT_PROD_MODEL}
 model_name=$(basename "${model_source}")
 
-model_source_mmap=${DEEPSPEECH_PROD_MODEL_MMAP}
+model_source_mmap=${STT_PROD_MODEL_MMAP}
 model_name_mmap=$(basename "${model_source_mmap}")
 
 download_model_prod
diff --git a/ci_scripts/node_tflite-tests-prod.sh b/ci_scripts/node_tflite-tests-prod.sh
index 9c7258b0..787ea49b 100755
--- a/ci_scripts/node_tflite-tests-prod.sh
+++ b/ci_scripts/node_tflite-tests-prod.sh
@@ -9,10 +9,10 @@ source $(dirname "$0")/asserts.sh
 bitrate=$1
 set_ldc_sample_filename "${bitrate}"
 
-model_source=${DEEPSPEECH_PROD_MODEL//.pb/.tflite}
+model_source=${STT_PROD_MODEL//.pb/.tflite}
 model_name=$(basename "${model_source}")
 model_name_mmap=$(basename "${model_source}")
-model_source_mmap=${DEEPSPEECH_PROD_MODEL_MMAP//.pbmm/.tflite}
+model_source_mmap=${STT_PROD_MODEL_MMAP//.pbmm/.tflite}
 
 download_model_prod
 
diff --git a/ci_scripts/node_tflite-tests.sh b/ci_scripts/node_tflite-tests.sh
index f048c6c9..4f78d07c 100755
--- a/ci_scripts/node_tflite-tests.sh
+++ b/ci_scripts/node_tflite-tests.sh
@@ -9,7 +9,7 @@ source $(dirname "$0")/asserts.sh
 bitrate=$1
 set_ldc_sample_filename "${bitrate}"
 
-model_source=${DEEPSPEECH_TEST_MODEL//.pb/.tflite}
+model_source=${STT_TEST_MODEL//.pb/.tflite}
 model_name=$(basename "${model_source}")
 model_name_mmap=$(basename "${model_source}")
 
diff --git a/ci_scripts/package-utils.sh b/ci_scripts/package-utils.sh
index f28e4538..6193a1a1 100755
--- a/ci_scripts/package-utils.sh
+++ b/ci_scripts/package-utils.sh
@@ -5,14 +5,14 @@ set -xe
 package_native_client()
 {
   tensorflow_dir=${DS_TFDIR}
-  deepspeech_dir=${DS_DSDIR}
+  stt_dir=${DS_DSDIR}
   artifacts_dir=${TASKCLUSTER_ARTIFACTS}
   artifact_name=$1
 
-  if [ ! -d ${tensorflow_dir} -o ! -d ${deepspeech_dir} -o ! -d ${artifacts_dir} ]; then
+  if [ ! -d ${tensorflow_dir} -o ! -d ${stt_dir} -o ! -d ${artifacts_dir} ]; then
     echo "Missing directory. Please check:"
     echo "tensorflow_dir=${tensorflow_dir}"
-    echo "deepspeech_dir=${deepspeech_dir}"
+    echo "stt_dir=${stt_dir}"
     echo "artifacts_dir=${artifacts_dir}"
     exit 1
   fi;
@@ -22,32 +22,32 @@ package_native_client()
   fi;
 
   win_lib=""
-  if [ -f "${tensorflow_dir}/bazel-bin/native_client/libdeepspeech.so.if.lib" ]; then
-    win_lib="-C ${tensorflow_dir}/bazel-bin/native_client/ libdeepspeech.so.if.lib"
+  if [ -f "${tensorflow_dir}/bazel-bin/native_client/libstt.so.if.lib" ]; then
+    win_lib="-C ${tensorflow_dir}/bazel-bin/native_client/ libstt.so.if.lib"
   fi;
 
   ${TAR} -cf - \
-    -C ${tensorflow_dir}/bazel-bin/native_client/ libdeepspeech.so \
+    -C ${tensorflow_dir}/bazel-bin/native_client/ libstt.so \
     ${win_lib} \
     -C ${tensorflow_dir}/bazel-bin/native_client/ generate_scorer_package \
-    -C ${deepspeech_dir}/ LICENSE \
-    -C ${deepspeech_dir}/native_client/ deepspeech${PLATFORM_EXE_SUFFIX} \
-    -C ${deepspeech_dir}/native_client/ deepspeech.h \
-    -C ${deepspeech_dir}/native_client/kenlm/ README.mozilla \
+    -C ${stt_dir}/ LICENSE \
+    -C ${stt_dir}/native_client/ stt${PLATFORM_EXE_SUFFIX} \
+    -C ${stt_dir}/native_client/ coqui-stt.h \
+    -C ${stt_dir}/native_client/kenlm/ README.coqui \
     | ${XZ} > "${artifacts_dir}/${artifact_name}"
 }
 
 package_native_client_ndk()
 {
-  deepspeech_dir=${DS_DSDIR}
+  stt_dir=${DS_DSDIR}
   tensorflow_dir=${DS_TFDIR}
   artifacts_dir=${TASKCLUSTER_ARTIFACTS}
   artifact_name=$1
   arch_abi=$2
 
-  if [ ! -d ${deepspeech_dir} -o ! -d ${artifacts_dir} ]; then
+  if [ ! -d ${stt_dir} -o ! -d ${artifacts_dir} ]; then
     echo "Missing directory. Please check:"
-    echo "deepspeech_dir=${deepspeech_dir}"
+    echo "stt_dir=${stt_dir}"
     echo "artifacts_dir=${artifacts_dir}"
     exit 1
   fi;
@@ -61,17 +61,17 @@ package_native_client_ndk()
   fi;
 
   ${TAR} -cf - \
-    -C ${deepspeech_dir}/native_client/libs/${arch_abi}/ deepspeech \
-    -C ${deepspeech_dir}/native_client/libs/${arch_abi}/ libdeepspeech.so \
+    -C ${stt_dir}/native_client/libs/${arch_abi}/ stt \
+    -C ${stt_dir}/native_client/libs/${arch_abi}/ libstt.so \
     -C ${tensorflow_dir}/bazel-bin/native_client/ generate_scorer_package \
-    -C ${deepspeech_dir}/native_client/libs/${arch_abi}/ libc++_shared.so \
-    -C ${deepspeech_dir}/native_client/ deepspeech.h \
-    -C ${deepspeech_dir}/ LICENSE \
-    -C ${deepspeech_dir}/native_client/kenlm/ README.mozilla \
+    -C ${stt_dir}/native_client/libs/${arch_abi}/ libc++_shared.so \
+    -C ${stt_dir}/native_client/ coqui-stt.h \
+    -C ${stt_dir}/ LICENSE \
+    -C ${stt_dir}/native_client/kenlm/ README.coqui \
     | ${XZ} > "${artifacts_dir}/${artifact_name}"
 }
 
-package_libdeepspeech_as_zip()
+package_libstt_as_zip()
 {
   tensorflow_dir=${DS_TFDIR}
   artifacts_dir=${TASKCLUSTER_ARTIFACTS}
@@ -88,5 +88,5 @@ package_libdeepspeech_as_zip()
     echo "Please specify artifact name."
   fi;
 
-  ${ZIP} -r9 --junk-paths "${artifacts_dir}/${artifact_name}" ${tensorflow_dir}/bazel-bin/native_client/libdeepspeech.so
+  ${ZIP} -r9 --junk-paths "${artifacts_dir}/${artifact_name}" ${tensorflow_dir}/bazel-bin/native_client/libstt.so
 }
diff --git a/ci_scripts/package.sh b/ci_scripts/package.sh
index 2981145a..a0401d84 100755
--- a/ci_scripts/package.sh
+++ b/ci_scripts/package.sh
@@ -11,11 +11,11 @@ cp ${DS_DSDIR}/tensorflow/bazel*.log ${TASKCLUSTER_ARTIFACTS}/
 
 package_native_client "native_client.tar.xz"
 
-package_libdeepspeech_as_zip "libdeepspeech.zip"
+package_libstt_as_zip "libstt.zip"
 
 if [ -d ${DS_DSDIR}/wheels ]; then
     cp ${DS_DSDIR}/wheels/* ${TASKCLUSTER_ARTIFACTS}/
-    cp ${DS_DSDIR}/native_client/javascript/deepspeech-*.tgz ${TASKCLUSTER_ARTIFACTS}/
+    cp ${DS_DSDIR}/native_client/javascript/stt-*.tgz ${TASKCLUSTER_ARTIFACTS}/
 fi;
 
 if [ -f ${DS_DSDIR}/native_client/javascript/wrapper.tar.gz ]; then
diff --git a/ci_scripts/python-tests-prod.sh b/ci_scripts/python-tests-prod.sh
index 7febefdf..68dba911 100755
--- a/ci_scripts/python-tests-prod.sh
+++ b/ci_scripts/python-tests-prod.sh
@@ -9,18 +9,18 @@ source $(dirname "$0")/asserts.sh
 bitrate=$1
 set_ldc_sample_filename "${bitrate}"
 
-model_source=${DEEPSPEECH_PROD_MODEL}
+model_source=${STT_PROD_MODEL}
 model_name=$(basename "${model_source}")
 
-model_source_mmap=${DEEPSPEECH_PROD_MODEL_MMAP}
+model_source_mmap=${STT_PROD_MODEL_MMAP}
 model_name_mmap=$(basename "${model_source_mmap}")
 
 download_model_prod
 
 download_material
 
-which deepspeech
-deepspeech --version
+which stt
+stt --version
 
 run_prod_inference_tests "${bitrate}"
 
diff --git a/ci_scripts/python-tests.sh b/ci_scripts/python-tests.sh
index 980f379a..455b3c97 100755
--- a/ci_scripts/python-tests.sh
+++ b/ci_scripts/python-tests.sh
@@ -11,8 +11,8 @@ set_ldc_sample_filename "${bitrate}"
 
 download_data
 
-which deepspeech
-deepspeech --version
+which stt
+stt --version
 
 run_all_inference_tests
 
diff --git a/ci_scripts/python_tflite-tests-prod.sh b/ci_scripts/python_tflite-tests-prod.sh
index 83cbe69c..4ffdc0ef 100755
--- a/ci_scripts/python_tflite-tests-prod.sh
+++ b/ci_scripts/python_tflite-tests-prod.sh
@@ -9,16 +9,16 @@ source $(dirname "$0")/asserts.sh
 bitrate=$1
 set_ldc_sample_filename "${bitrate}"
 
-model_source=${DEEPSPEECH_PROD_MODEL//.pb/.tflite}
+model_source=${STT_PROD_MODEL//.pb/.tflite}
 model_name=$(basename "${model_source}")
 model_name_mmap=$(basename "${model_source}")
-model_source_mmap=${DEEPSPEECH_PROD_MODEL_MMAP//.pbmm/.tflite}
+model_source_mmap=${STT_PROD_MODEL_MMAP//.pbmm/.tflite}
 
 download_model_prod
 
 download_material
 
-which deepspeech
-deepspeech --version
+which stt
+stt --version
 
 run_prodtflite_inference_tests "${bitrate}"
diff --git a/ci_scripts/python_tflite-tests.sh b/ci_scripts/python_tflite-tests.sh
index 844c50e4..0a7b90b6 100755
--- a/ci_scripts/python_tflite-tests.sh
+++ b/ci_scripts/python_tflite-tests.sh
@@ -9,14 +9,14 @@ source $(dirname "$0")/asserts.sh
 bitrate=$1
 set_ldc_sample_filename "${bitrate}"
 
-model_source=${DEEPSPEECH_TEST_MODEL//.pb/.tflite}
+model_source=${STT_TEST_MODEL//.pb/.tflite}
 model_name=$(basename "${model_source}")
 model_name_mmap=$(basename "${model_source}")
 
 download_data
 
-which deepspeech
-deepspeech --version
+which stt
+stt --version
 
 run_all_inference_tests
 
diff --git a/ci_scripts/tf-build.sh b/ci_scripts/tf-build.sh
index 0f21f03e..df9393b5 100755
--- a/ci_scripts/tf-build.sh
+++ b/ci_scripts/tf-build.sh
@@ -23,7 +23,7 @@ pushd ${DS_ROOT_TASK}/tensorflow/
 
     case "$1" in
     "--windows-cpu")
-        echo "" | TF_NEED_CUDA=0 ./configure && ${BAZEL_BUILD} ${OPT_OR_DBG} ${BAZEL_OPT_FLAGS} ${BAZEL_EXTRA_FLAGS} ${BUILD_TARGET_LIBDEEPSPEECH} ${BUILD_TARGET_LITE_LIB} --workspace_status_command="bash native_client/bazel_workspace_status_cmd.sh"
+        echo "" | TF_NEED_CUDA=0 ./configure && ${BAZEL_BUILD} ${OPT_OR_DBG} ${BAZEL_OPT_FLAGS} ${BAZEL_EXTRA_FLAGS} ${BUILD_TARGET_LIBSTT} ${BUILD_TARGET_LITE_LIB} --workspace_status_command="bash native_client/bazel_workspace_status_cmd.sh"
         ;;
     "--linux-cpu"|"--darwin-cpu")
         echo "" | TF_NEED_CUDA=0 ./configure && ${BAZEL_BUILD} ${OPT_OR_DBG} ${BAZEL_OPT_FLAGS} ${BAZEL_EXTRA_FLAGS} ${BUILD_TARGET_LIB_CPP_API} ${BUILD_TARGET_LITE_LIB}
diff --git a/ci_scripts/tf-package.sh b/ci_scripts/tf-package.sh
index 87a5c151..c4498303 100755
--- a/ci_scripts/tf-package.sh
+++ b/ci_scripts/tf-package.sh
@@ -28,9 +28,9 @@ if [ -f "${OUTPUT_ROOT}/tensorflow/lite/tools/benchmark/benchmark_model" ]; then
 fi
 
 # It seems that bsdtar and gnutar are behaving a bit differently on the way
-# they deal with --exclude="./public/*" ; this caused ./DeepSpeech/tensorflow/core/public/
+# they deal with --exclude="./public/*" ; this caused ./STT/tensorflow/core/public/
 # to be ditched when we just wanted to get rid of ./public/ on OSX.
-# Switching to gnutar (already needed for the --transform on DeepSpeech tasks)
+# Switching to gnutar (already needed for the --transform on STT tasks)
 # does the trick.
 TAR_EXCLUDE="--exclude=./dls/*"
 if [ "${OS}" = "Darwin" ]; then
diff --git a/ci_scripts/tf-setup.sh b/ci_scripts/tf-setup.sh
index b124924d..1cf7c841 100755
--- a/ci_scripts/tf-setup.sh
+++ b/ci_scripts/tf-setup.sh
@@ -65,22 +65,22 @@ bazel shutdown
 
 if [ ! -z "${install_cuda}" ]; then
     # Install CUDA and CuDNN
-    mkdir -p ${DS_ROOT_TASK}/DeepSpeech/CUDA/ || true
+    mkdir -p ${DS_ROOT_TASK}/STT/CUDA/ || true
     pushd ${DS_ROOT_TASK}
         CUDA_FILE=`basename ${CUDA_URL}`
-        PERL5LIB=. sh ${DS_ROOT_TASK}/dls/${CUDA_FILE} --silent --override --toolkit --toolkitpath=${DS_ROOT_TASK}/DeepSpeech/CUDA/ --defaultroot=${DS_ROOT_TASK}/DeepSpeech/CUDA/
+        PERL5LIB=. sh ${DS_ROOT_TASK}/dls/${CUDA_FILE} --silent --override --toolkit --toolkitpath=${DS_ROOT_TASK}/STT/CUDA/ --defaultroot=${DS_ROOT_TASK}/STT/CUDA/
 
         CUDNN_FILE=`basename ${CUDNN_URL}`
-        tar xvf ${DS_ROOT_TASK}/dls/${CUDNN_FILE} --strip-components=1 -C ${DS_ROOT_TASK}/DeepSpeech/CUDA/
+        tar xvf ${DS_ROOT_TASK}/dls/${CUDNN_FILE} --strip-components=1 -C ${DS_ROOT_TASK}/STT/CUDA/
     popd
 
-    LD_LIBRARY_PATH=${DS_ROOT_TASK}/DeepSpeech/CUDA/lib64/:${DS_ROOT_TASK}/DeepSpeech/CUDA/lib64/stubs/:$LD_LIBRARY_PATH
+    LD_LIBRARY_PATH=${DS_ROOT_TASK}/STT/CUDA/lib64/:${DS_ROOT_TASK}/STT/CUDA/lib64/stubs/:$LD_LIBRARY_PATH
     export LD_LIBRARY_PATH
 
     # We might lack libcuda.so.1 symlink, let's fix as upstream does:
     # https://github.com/tensorflow/tensorflow/pull/13811/files?diff=split#diff-2352449eb75e66016e97a591d3f0f43dR96
-    if [ ! -h "${DS_ROOT_TASK}/DeepSpeech/CUDA/lib64/stubs/libcuda.so.1" ]; then
-        ln -s "${DS_ROOT_TASK}/DeepSpeech/CUDA/lib64/stubs/libcuda.so" "${DS_ROOT_TASK}/DeepSpeech/CUDA/lib64/stubs/libcuda.so.1"
+    if [ ! -h "${DS_ROOT_TASK}/STT/CUDA/lib64/stubs/libcuda.so.1" ]; then
+        ln -s "${DS_ROOT_TASK}/STT/CUDA/lib64/stubs/libcuda.so" "${DS_ROOT_TASK}/STT/CUDA/lib64/stubs/libcuda.so.1"
     fi;
 
 else
@@ -88,15 +88,15 @@ else
 fi
 
 if [ ! -z "${install_android}" ]; then
-    mkdir -p ${DS_ROOT_TASK}/DeepSpeech/Android/SDK || true
+    mkdir -p ${DS_ROOT_TASK}/STT/Android/SDK || true
     ANDROID_NDK_FILE=`basename ${ANDROID_NDK_URL}`
     ANDROID_SDK_FILE=`basename ${ANDROID_SDK_URL}`
 
-    pushd ${DS_ROOT_TASK}/DeepSpeech/Android
+    pushd ${DS_ROOT_TASK}/STT/Android
         unzip ${DS_ROOT_TASK}/dls/${ANDROID_NDK_FILE}
     popd
 
-    pushd ${DS_ROOT_TASK}/DeepSpeech/Android/SDK
+    pushd ${DS_ROOT_TASK}/STT/Android/SDK
         unzip ${DS_ROOT_TASK}/dls/${ANDROID_SDK_FILE}
         yes | ./tools/bin/sdkmanager --licenses
         ./tools/bin/sdkmanager --update
diff --git a/ci_scripts/tf-vars.sh b/ci_scripts/tf-vars.sh
index f29c5ec3..0e6014c9 100755
--- a/ci_scripts/tf-vars.sh
+++ b/ci_scripts/tf-vars.sh
@@ -87,9 +87,9 @@ fi;
 export PATH
 
 if [ "${OS}" = "Linux" ]; then
-    export LD_LIBRARY_PATH=${DS_ROOT_TASK}/DeepSpeech/CUDA/lib64/:${DS_ROOT_TASK}/DeepSpeech/CUDA/lib64/stubs/:$LD_LIBRARY_PATH
-    export ANDROID_SDK_HOME=${DS_ROOT_TASK}/DeepSpeech/Android/SDK/
-    export ANDROID_NDK_HOME=${DS_ROOT_TASK}/DeepSpeech/Android/android-ndk-r18b/
+    export LD_LIBRARY_PATH=${DS_ROOT_TASK}/STT/CUDA/lib64/:${DS_ROOT_TASK}/STT/CUDA/lib64/stubs/:$LD_LIBRARY_PATH
+    export ANDROID_SDK_HOME=${DS_ROOT_TASK}/STT/Android/SDK/
+    export ANDROID_NDK_HOME=${DS_ROOT_TASK}/STT/Android/android-ndk-r18b/
 fi;
 
 export TF_ENABLE_XLA=0
@@ -164,7 +164,7 @@ NVCC_COMPUTE="3.5"
 if [ "${OS}" = "${TC_MSYS_VERSION}" ]; then
     TF_CUDA_FLAGS="TF_CUDA_CLANG=0 TF_CUDA_VERSION=10.1 TF_CUDNN_VERSION=7.6.0 CUDNN_INSTALL_PATH=\"${CUDA_INSTALL_DIRECTORY}\" TF_CUDA_PATHS=\"${CUDA_INSTALL_DIRECTORY}\" TF_CUDA_COMPUTE_CAPABILITIES=\"${NVCC_COMPUTE}\""
 else
-    TF_CUDA_FLAGS="TF_CUDA_CLANG=0 TF_CUDA_VERSION=10.1 TF_CUDNN_VERSION=7.6.0 CUDNN_INSTALL_PATH=\"${DS_ROOT_TASK}/DeepSpeech/CUDA\" TF_CUDA_PATHS=\"${DS_ROOT_TASK}/DeepSpeech/CUDA\" TF_CUDA_COMPUTE_CAPABILITIES=\"${NVCC_COMPUTE}\""
+    TF_CUDA_FLAGS="TF_CUDA_CLANG=0 TF_CUDA_VERSION=10.1 TF_CUDNN_VERSION=7.6.0 CUDNN_INSTALL_PATH=\"${DS_ROOT_TASK}/STT/CUDA\" TF_CUDA_PATHS=\"${DS_ROOT_TASK}/STT/CUDA\" TF_CUDA_COMPUTE_CAPABILITIES=\"${NVCC_COMPUTE}\""
 fi
 BAZEL_ARM_FLAGS="--config=rpi3 --config=rpi3_opt --copt=-DTFLITE_WITH_RUY_GEMV"
 BAZEL_ARM64_FLAGS="--config=rpi3-armv8 --config=rpi3-armv8_opt --copt=-DTFLITE_WITH_RUY_GEMV"
@@ -196,4 +196,4 @@ BUILD_TARGET_GRAPH_BENCHMARK="//tensorflow/tools/benchmark:benchmark_model"
 BUILD_TARGET_TOCO="//tensorflow/lite/toco:toco"
 BUILD_TARGET_LITE_BENCHMARK="//tensorflow/lite/tools/benchmark:benchmark_model"
 BUILD_TARGET_LITE_LIB="//tensorflow/lite/c:libtensorflowlite_c.so"
-BUILD_TARGET_LIBDEEPSPEECH="//native_client:libdeepspeech.so"
+BUILD_TARGET_LIBSTT="//native_client:libstt.so"