U.S. English Kaldi Profile
March 16, 2021 ยท View on GitHub
A Rhasspy profile for U.S. English (en).
Includes:
- A Kaldi nnet3 speech to text model
- See files in
acoustic_model/ - Recipe created with ipa2kaldi
- Word error rate: 5.90%
- Trained on:
- Common Voice (1,449 hours)
- LibriSpeech (363 hours)
- M-AILabs (98 hours)
- Tatoeba (185 hours)
- VCTK (41 hours)
- Voxforge (124 hours)
- See files in
- An IPA pronunciation lexicon based on Reece Dunn's U.S. English lexicon
- See
base_dictionary.txt.gz
- See
- A phonetisaurus grapheme to phoneme model for predicting word pronunciations
- See
g2p.fst.gz - Trained on
base_dictionary.txt.gz
- See
- A tri-gram ARPA language model
- See
base_language_model.txt.gz - Text from audio transcriptions, Common Voice, and Universal Dependencies
- See