funcwj/aps
A personal toolkit for single/multi-channel speech recognition & enhancement & separation.
This toolkit simplifies the training and evaluation of neural networks for speech-related tasks. It takes raw audio recordings, potentially with background noise or multiple speakers, and can output cleaner speech, separated speaker tracks, or transcribed text. It's designed for researchers and engineers working on advanced audio processing applications.
145 stars. No commits in the last 6 months.
Use this if you are developing or experimenting with neural network models for speech enhancement, speaker separation, or automatic speech recognition.
Not ideal if you need a ready-to-use application for transcribing audio or cleaning up recordings without getting involved in model development.
Stars
145
Forks
28
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 06, 2023
Commits (30d)
0
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