jinserk/pytorch-asr

ASR with PyTorch

42
/ 100
Emerging

This project helps speech recognition engineers and researchers experiment with different acoustic models for converting spoken audio into a sequence of phonemes. You provide recorded speech audio, and it outputs the phoneme sequence, which can then be used for further language model processing. It's designed for those who want to innovate on the 'acoustic' part of speech-to-text systems.

140 stars. No commits in the last 6 months.

Use this if you are a speech recognition researcher or engineer focusing on developing and testing new acoustic models that convert audio directly into phoneme sequences.

Not ideal if you need a complete, end-to-end speech-to-text solution that provides word-level transcriptions out-of-the-box without deep involvement in acoustic modeling.

speech-recognition acoustic-modeling phonetics audio-processing natural-language-processing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 16 / 25

How are scores calculated?

Stars

140

Forks

20

Language

Python

License

GPL-3.0

Last pushed

Mar 10, 2019

Commits (30d)

0

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