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Code for the paper "FastAdaSP: An Efficient Multitask Inference Framework for Large Speech Language Models". @ EMNLP'24(Oral)

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FastAdaSP

Code for the paper "FastAdaSP: An Efficient Multitask Inference Framework for Large Speech Language Models". EMNLP 2024 industry track, oral

To be released before Nov.

Paper Blog

To-do list

  • Release Code for Qwen-Audio
  • Release Code for WavLLM
  • Release Evaluation Piepline

Citation

@inproceedings{lu-etal-2024-fastadasp,
    title = "{F}ast{A}da{SP}: Multitask-Adapted Efficient Inference for Large Speech Language Model",
    author = "Lu, Yichen  and
      Song, Jiaqi  and
      Yang, Chao-Han Huck  and
      Watanabe, Shinji",
    editor = "Dernoncourt, Franck  and
      Preo{\c{t}}iuc-Pietro, Daniel  and
      Shimorina, Anastasia",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = nov,
    year = "2024",
    address = "Miami, Florida, US",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.emnlp-industry.33",
    pages = "440--451",
}

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Code for the paper "FastAdaSP: An Efficient Multitask Inference Framework for Large Speech Language Models". @ EMNLP'24(Oral)

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