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Add model download and extraction to initial example

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X-DeepSpeech: NOBUILD
This commit is contained in:
Reuben Morais 2019-09-06 14:01:38 +02:00
parent a9851c949a
commit 36403cb64b
1 changed files with 10 additions and 2 deletions
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README.md
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@ -14,8 +14,16 @@ source $HOME/tmp/deepspeech-venv/bin/activate
# Install DeepSpeech # Install DeepSpeech
pip3 install deepspeech pip3 install deepspeech
# Download pre-trained English model and extract
curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.5.1/deepspeech-0.5.1-models.tar.gz
tar xvf deepspeech-0.5.1-models.tar.gz
# Download example audio files
curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.5.1/audio-0.5.1.tar.gz
tar xvf audio-0.5.1.tar.gz
# Transcribe an audio file # Transcribe an audio file
deepspeech --model models/output_graph.pbmm --alphabet models/alphabet.txt --lm models/lm.binary --trie models/trie --audio my_audio_file.wav deepspeech --model deepspeech-0.5.1-models/output_graph.pbmm --alphabet deepspeech-0.5.1-models/alphabet.txt --lm deepspeech-0.5.1-models/lm.binary --trie deepspeech-0.5.1-models/trie --audio audio/2830-3980-0043.wav
``` ```
A pre-trained English model is available for use and can be downloaded using [the instructions below](#using-a-pre-trained-model). Currently, only 16-bit, 16 kHz, mono-channel WAVE audio files are supported in the Python client. A package with some example audio files is available for download in our [release notes](https://github.com/mozilla/DeepSpeech/releases/latest). A pre-trained English model is available for use and can be downloaded using [the instructions below](#using-a-pre-trained-model). Currently, only 16-bit, 16 kHz, mono-channel WAVE audio files are supported in the Python client. A package with some example audio files is available for download in our [release notes](https://github.com/mozilla/DeepSpeech/releases/latest).
@ -31,7 +39,7 @@ source $HOME/tmp/deepspeech-gpu-venv/bin/activate
pip3 install deepspeech-gpu pip3 install deepspeech-gpu
# Transcribe an audio file. # Transcribe an audio file.
deepspeech --model models/output_graph.pbmm --alphabet models/alphabet.txt --lm models/lm.binary --trie models/trie --audio my_audio_file.wav deepspeech --model deepspeech-0.5.1-models/output_graph.pbmm --alphabet deepspeech-0.5.1-models/alphabet.txt --lm deepspeech-0.5.1-models/lm.binary --trie deepspeech-0.5.1-models/trie --audio audio/2830-3980-0043.wav
``` ```
Please ensure you have the required [CUDA dependencies](#cuda-dependency). Please ensure you have the required [CUDA dependencies](#cuda-dependency).