From 76a898e7ecf204709ef4f3426375408a60fbcb5c Mon Sep 17 00:00:00 2001 From: Josh Meyer Date: Tue, 26 Feb 2019 02:01:30 +0100 Subject: [PATCH] word order --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index a813d6c7..79582ccb 100644 --- a/README.md +++ b/README.md @@ -10,9 +10,9 @@ DeepSpeech is an open source Speech-To-Text engine, using a model trained by mac Pre-built binaries for performing inference with a trained model can be installed with `pip3`. Proper setup using a virtual environment is recommended, and you can find that documention [below](#using-the-python-package). -A pre-trained English model is available for use and can be downloaded using [the instructions below](#getting-the-pre-trained-model). +A pre-trained English model is available for use and can be downloaded using [the instructions below](#getting-the-pre-trained-model). Currently, only 16-bit, 16 kHz, mono-channel WAVE audio files are supported in the Python client. -Once everything is installed, you can then use the `deepspeech` binary to do speech-to-text on short (approximately 5 second) audio files (currently only WAVE files with 16-bit, 16 kHz, mono are supported in the Python client): +Once everything is installed, you can then use the `deepspeech` binary to do speech-to-text on short (approximately 5 second) audio files as such: ```bash pip3 install deepspeech