General

This is the initial release of Deep Speech, an open speech-to-text engine. This release includes source code

v0.1.0.tar.gz

and a model, not yet optimized for size,

deepspeech-0.1.0-models.tar.gz

trained on American English which achieves a 6.0% word error rate (The language model included some test data.) on the LibriSpeech clean test corpus, and example audio

audio-0.1.0.tar.gz

which can be used to test the engine.

Bindings

In addition it includes a Python based command line tool deepspeech, installed through

pip install deepspeech

Alternatively, quicker inference can be performed using a supported NVIDIA GPU on Linux. (See below to find which GPU's are supported.) This is done by instead installing the GPU specific package:

pip install deepspeech-gpu

Also, it exposes bindings for the following languages

• Python (Versions 2.7, 3.4, 3.5, and 3.6) installed via

  pip install deepspeech

  Alternatively, quicker inference can be performed using a supported NVIDIA GPU on Linux. (See below to find which GPU's are supported.) This is done by instead installing the GPU specific package:

  pip install deepspeech-gpu

• NodeJS (Versions 4.x, 5.x, and 6.x) installed via

  npm install deepspeech
  

  Alternatively, quicker inference can be performed using a supported NVIDIA GPU on Linux. (See below to find which GPU's are supported.) This is done by instead installing the GPU specific package:

  npm install deepspeech-gpu
  

• C++ which requires the appropriate shared objects are installed from native_client.tar.xz (See the section in the main README which describes native_client.tar.xz installation.)

In addition there are third party bindings that are supported by external developers, for example

• Rust which is installed by following the instructions on the external Rust repo.

Supported Platforms

• OS X 10.12 and 10.13
• Linux x86 64 bit with a modern CPU (Supports up to AVX2/FMA)
• Linux x86 64 bit with a modern CPU + NVIDIA GPU (Compute Capability at least 3.0, see NVIDIA docs)
• Raspbian Jessie on Raspberry Pi 3

Contact/Getting Help

1. FAQ - We have a list of common questions, and their answers, in our FAQ. When just getting started, it's best to first check the FAQ to see if your question is addressed.
2. Discourse Forums - If your question is not addressed in the FAQ, the Discourse Forums is the next place to look. They contain conversations on General Topics, Using Deep Speech, Alternative Platforms, and Deep Speech Development.
3. IRC - If your question is not addressed by either the FAQ or Discourse Forums, you can contact us on the #machinelearning channel on Mozilla IRC; people there can try to answer/help
4. Issues - Finally, if all else fails, you can open an issue in our repo if there is a bug with the current code base.