alumae/kaldi-offline-transcriber
Offline transcription system for Estonian using Kaldi
Implements multi-pass decoding combining Kaldi chain TDNN acoustic models with i-vector speaker adaptation, language model rescoring, and RNNLM rescoring, plus language identification and speaker diarization via LIUM. Reconstructs de-compounded words using OpenFst to produce natural Estonian output, achieving ~0.6x realtime transcription on CPU with under 2GB RAM usage and Docker deployment support.
228 stars. No commits in the last 6 months.
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228
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55
Language
Python
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Last pushed
Aug 04, 2022
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