0.2.0

Tacspeak - speech recognition for gaming

v0.2.0

This release DOES include a pre-trained model download, but it's EXPERIMENTAL!
If you're not keen on using an EXPERIMENTAL model, please download / use the pre-trained model from the 0.1 release.
download model from 0.1 release

Highlights and useful info:

YouTube video - v0.2 key changes, model & testing info

Model results should go into issue #23, link here

1. EXPERIMENTAL new kaldi model, finetuned from the base model, with ~23hrs of Ready or Not commands
   • You can use the base (0.1) model or the new EXPERIMENTAL model with Tacspeak v0.2.
   • You should only use the new EXPERIMENTAL model if you're willing to test both the new model and base model.
2. New --test_model command line argument (& more) used to test models against retained audio + metadata
3. Changes to user_settings.py
   • NoiseSink rule (enable / disable in user_settings.py). Particularly useful for the new model as it's more sensitive to noise.
   • listen_key_padding_end_ms_max and related in user_settings.py to fix audio being cut-short
   • retain_dir and related in user_settings.py to retain audio + metadata of recognitions
4. Minor improvements to Ready or Not grammar module, should recognise "gold ... command" more accurately

Full Changelog: 0.1.5...0.2.0