There are two different parts to this.  _Using deepspeech at all_, and
   _training models to process new kinds of data_.  The latter may use a
   much beefier system than the former.
   Training can happen much faster with much less data but information on
   doing that easily, publicly, and normally has not reached me yet.

Welcome to DeepSpeech’s documentation!

   DeepSpeech is an open source Speech-To-Text engine, using a model
   trained by machine learning techniques based on [1]Baidu’s Deep Speech
   research paper. Project DeepSpeech uses Google’s [2]TensorFlow to make
   the implementation easier.

   To install and use DeepSpeech all you have to do is:
# Create and activate a virtualenv
virtualenv -p python3 $HOME/tmp/deepspeech-venv/
source $HOME/tmp/deepspeech-venv/bin/activate

# Install DeepSpeech
pip3 install deepspeech

# Download pre-trained English model files
curl -LO [3]https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deeps
peech-0.9.3-models.pbmm
curl -LO [4]https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deeps
peech-0.9.3-models.scorer

# Download example audio files
curl -LO [5]https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/audio
-0.9.3.tar.gz
tar xvf audio-0.9.3.tar.gz

# Transcribe an audio file
deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models
.scorer --audio audio/2830-3980-0043.wav

   A pre-trained English model is available for use and can be downloaded
   following the instructions in [6]the usage docs. For the latest
   release, including pre-trained models and checkpoints, [7]see the
   GitHub releases page.

   Quicker inference can be performed using a supported NVIDIA GPU on
   Linux. See the [8]release notes to find which GPUs are supported. To
   run deepspeech on a GPU, install the GPU specific package:
# Create and activate a virtualenv
virtualenv -p python3 $HOME/tmp/deepspeech-gpu-venv/
source $HOME/tmp/deepspeech-gpu-venv/bin/activate

# Install DeepSpeech CUDA enabled package
pip3 install deepspeech-gpu

# Transcribe an audio file.
deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models
.scorer --audio audio/2830-3980-0043.wav

   Please ensure you have the required [9]CUDA dependencies.

   See the output of deepspeech -h for more information on the use
   of deepspeech. (If you experience problems running deepspeech, please
   check [10]required runtime dependencies).

   Introduction
     * [11]Using a Pre-trained Model
          + ... ...

References

   Visible links
   1. https://arxiv.org/abs/1412.5567
   2. https://www.tensorflow.org/
   3. https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deepspeech-0.9.3-models.pbmm
   4. https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deepspeech-0.9.3-models.scorer
   5. https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/audio-0.9.3.tar.gz
   6. https://deepspeech.readthedocs.io/en/r0.9/USING.html#usage-docs
   7. https://github.com/mozilla/DeepSpeech/releases/latest
   8. https://github.com/mozilla/DeepSpeech/releases/latest
   9. https://deepspeech.readthedocs.io/en/r0.9/USING.html#cuda-inference-deps
  10. https://deepspeech.readthedocs.io/en/r0.9/USING.html#runtime-deps
  11. https://deepspeech.readthedocs.io/en/r0.9/USING.html

   Hidden links:
  13. https://deepspeech.readthedocs.io/en/r0.9/?badge=latest#welcome-to-deepspeech-s-documentation