hwanyyy/preprocessing-of-speech

VAD + resampling | High resolution spectrogram

13
/ 100
Experimental

This tool helps speech researchers and machine learning engineers prepare audio data for analysis or model training. It takes raw WAV audio files and processes them to remove silent sections and standardize sampling rates. The output is cleaner, more efficient audio files, which can significantly speed up training and improve the accuracy of speech recognition or classification models.

No commits in the last 6 months.

Use this if you need to clean up spoken audio recordings by removing silence and optimizing their format for speech processing tasks.

Not ideal if you need to analyze music, environmental sounds, or other non-speech audio, or if your primary goal is general audio editing rather than preparation for speech-specific machine learning.

speech-recognition audio-data-preparation machine-learning-engineering computational-linguistics voice-processing
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 0 / 25

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14

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Language

Python

License

Last pushed

Nov 29, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/hwanyyy/preprocessing-of-speech"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.