ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation

Chenyang Le, Yao Qian, Long Zhou, Shujie Liu 0001, Yanmin Qian, Michael Zeng 0001, Xuedong Huang 0001. ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{LeQZLQ0023,
  title = {ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation},
  author = {Chenyang Le and Yao Qian and Long Zhou and Shujie Liu 0001 and Yanmin Qian and Michael Zeng 0001 and Xuedong Huang 0001},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/b6262f7a34e5d641cdb3d33dc9ad1a5a-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/LeQZLQ0023},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}