MMS forced-alignment model, ONNX (MatMul int8)
Browser build of Meta's MMS forced-alignment model (torchaudio.pipelines.MMS_FA, wav2vec2, 300M params),
used by the Caption Re-timer web app to time-align a known transcript to audio with CTC forced alignment.
mms_fa_mm8.onnx(~356 MB): inputaudiofloat32[1, samples]at 16 kHz → outputlogprobs[1, frames, 28], one frame per 20 ms. Input normalisation andlog_softmaxare inside the graph. Only the transformer MatMul weights are quantized to int8 (per channel); full int8 quantization caused multi-second misses in testing.- Vocabulary (id 0 = CTC blank):
- a i e n o u t s r m k l d g h y b p w c v j z f ' q x
Built with export_model.py (torch/torchaudio 2.5.1, opset 17).
Licence
The MMS weights are released by Meta under CC-BY-NC 4.0 (non-commercial use only). This is a converted copy of those weights under the same licence.
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