yc9701/pansori
Tools for ASR Corpus Generation from Online Video
Implements a four-stage pipeline (ingest, align, transform, validate) that downloads video and subtitle streams, performs forced alignment using optional GUI tools or automated approaches, applies audio segmentation/compression and text normalization, then validates corpus quality via Google Cloud Speech-to-Text API across 120+ languages. Eliminates the need for language-specific ASR models by leveraging cloud-based validation, making corpus generation accessible for low-resource languages.
140 stars. No commits in the last 6 months.
Stars
140
Forks
27
Language
Python
License
MIT
Category
Last pushed
Feb 10, 2019
Commits (30d)
0
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