Continuous Integration now documented

This release documents GitHub Actions for use where DeepSpeech is cloned to another repository - for example to work on a specific language.

v1.0

This is the first stable release of the DeepSpeech PlayBook.

It has been updated from the Alpha version based on user feedback.

Feedback is warmly welcomed through raising an Issue.

• Please try these instructions, particularly for building a Docker image and running a Docker container, on multiple distributions of Linux so that we can identify corner cases.

• Please contribute your tacit knowledge - such as:
  - common errors encountered in data formatting, environment setup, training and validation
  - techniques or approaches for improving the scorer, alphabet file or the accuracy of Word Error Rate (WER) and Character Error Rate (CER).
  - case studies of the work you or your organisation have been doing, showing your approaches to data validation, training or evaluation.

  Please identify errors in text - with many eyes, bugs are shallow :-)

v0.1 Alpha release

This is the very first public release of the DeepSpeech PlayBook 🎉

We warmly welcome your feedback, via raising an Issue, or via email to [email protected].

• Please try these instructions, particularly for building a Docker image and running a Docker container, on multiple distributions of Linux so that we can identify corner cases.

• Please contribute your tacit knowledge - such as:

  • common errors encountered in data formatting, environment setup, training and validation
  • techniques or approaches for improving the scorer, alphabet file or the accuracy of Word Error Rate (WER) and Character Error Rate (CER).
  • case studies of the work you or your organisation have been doing, showing your approaches to data validation, training or evaluation.

• Please identify errors in text - with many eyes, bugs are shallow :-)