idiap/zff_vad
Unsupervised Voice Activity Detection by Modeling Source and System Information using Zero Frequency Filtering
This tool helps researchers and analysts automatically identify segments of speech within audio recordings, distinguishing human voice from background noise. You provide raw audio files (like WAV or MP3), and it outputs a CSV file listing the start and end times of all detected speech segments. This is ideal for anyone working with spoken language data, such as in linguistics, speech processing, or audio analytics.
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Use this if you need an efficient and accurate way to preprocess large batches of audio, focusing only on the spoken parts for further analysis.
Not ideal if your primary goal is to transcribe speech to text, as this tool only marks where speech occurs, not what is being said.
Stars
24
Forks
2
Language
Python
License
GPL-3.0
Category
Last pushed
Oct 19, 2023
Commits (30d)
0
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