[Not for merge] Support Zipformer encoder for LLM based ASR#1944
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yfyeung wants to merge 28 commits intok2-fsa:masterfrom
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[Not for merge] Support Zipformer encoder for LLM based ASR#1944yfyeung wants to merge 28 commits intok2-fsa:masterfrom
yfyeung wants to merge 28 commits intok2-fsa:masterfrom
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minor fix train.py
update update update update fix reformat support infer update
update
fix fix
fix typo in RESULTS.md Update RESULTS.md
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use ctc compress (suggested by @shylockasr) fix revert revert revert
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Wonderful work on this branch—it looks very promising. I’m exploring a Zipformer + LLM setup and found your implementation. Could you share why it hasn’t been merged into main? Also, is it currently usable (training/inference) or still experimental? Thank you for your time and contributions. @yfyeung |
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Maybe you can modify the projector and remove code about blank skipping. After that, it supports training and inference, but the performance is not better than whisper encoder. |
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Does this support streaming? Looking at the code, it doesn't seem to support streaming? |
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This PR add zipformer_llm_zh recipe.
Some new features / modifications:
world_sizeandrankexplicitly for dataloader.