EgorLakomkin/KTSpeechCrawler
Automatically constructing corpus for automatic speech recognition from YouTube videos
Automatically downloads and processes YouTube videos to extract aligned audio-text pairs, using speech recognition and forced alignment techniques to generate clean training data for ASR models. Includes a local web server for browsing and validating extracted samples before use. Designed for scalable corpus construction with minimal manual annotation overhead.
157 stars. No commits in the last 6 months.
Stars
157
Forks
38
Language
Python
License
MIT
Category
Last pushed
Feb 15, 2020
Commits (30d)
0
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