harmlessman/PAFTS

PAFTS : Library That Preprocessing Audio For TTS.

46
/ 100
Emerging

This tool helps content creators, educators, or researchers prepare audio for text-to-speech (TTS) systems. It takes raw audio files, cleans them by removing background noise and music, separates individual speakers, and then transcribes their speech into text. The output is a collection of clean, speaker-separated audio clips and a corresponding JSON file with their transcriptions, ready for TTS training.

No commits in the last 6 months. Available on PyPI.

Use this if you need to process large batches of raw audio recordings containing multiple speakers and background noise into a clean, transcribed dataset for text-to-speech model training.

Not ideal if you only need basic audio trimming or single-speaker transcription, or if your audio is already perfectly clean and separated.

audio-preprocessing speech-to-text speaker-diarization content-creation language-resource-development
Stale 6m
Maintenance 0 / 25
Adoption 7 / 25
Maturity 25 / 25
Community 14 / 25

How are scores calculated?

Stars

27

Forks

5

Language

Python

License

MIT

Last pushed

Nov 15, 2024

Commits (30d)

0

Dependencies

25

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