StarWorkshop/wavrail

Streaming speech recognition toolkit: log-mel features, CTC greedy and prefix-beam decoding, transducer-style frame-synchronous emission, forced alignment, Chinese/English CER-WER metrics, and a chunked streaming pipeline with latency accounting. NumPy core with a CPU-only torch extra; trainable demos on synthetic audio, fully offline.

GitHub repository with 31 stars and 235 forks.

Language: Python

Topics: asr, cer, ctc, forced-alignment, log-mel, numpy, python, speech-recognition, streaming, transducer

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Trending score 0.06, freshness score 0.21, stars gained +0, forks gained +0.

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2026-10-02: 31 stars and 235 forks.

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