v0.2

v0.2

Changelog

• Command line script improvements. Notable changes:
  • Inference can be done without downloading training data.
  • Logs can be written to stderr instead of a file if desired.
  • Able to specify which validation statistics to record (WER, loss).
• Corrects initialisation of DeepSpeech forget gate bias.
• DeepSpeech and DeepSpeech2 models now default to GreedyCTCDecoder.
• Initial random weights are saved to disk.
• JupyterLab terminal defaults to bash.

Training Setup

As per v0.1.

Training Command

As per v0.1 but Deep Speech is now selected by setting MODEL=ds1.

WER Command

As per v0.1 but training is now skipped by setting --train_subsets (i.e. no subsets specified) or --n_epochs 0 (this will avoid downloading the training subsets).

Results

As per v0.1. The pretrained weights are compatible with this release.