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Direct Speech-to-speech translation (S2ST) has drawn more and more attention recently.
A. Lavie, A. Waibel, L. Levin, M. Finke, D. Gates, M. Gavalda, T. Zeppenfeld, and P. Zhan, “Janus-iii: Speech-to-speech translation in multiple languages,” in 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing , vol. 1. IEEE, 1997, pp. 99–102
1997
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M. Post, G. Kumar, A. Lopez, D. Karakos, C. Callison-Burch, and S. Khudanpur, “Improved speech-to-text translation with the fisher and callhome spanish-english speech translation corpus,” in Proceedings of the 10th International Workshop on Spoken Language Translation: Papers , 2013
2013
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V. Panayotov, G. Chen, D. Povey, and S. Khudanpur, “Librispeech: an asr corpus based on public domain audio books,” in 2015 IEEE international conference on acoustics, speech and signal processing (ICASSP) . IEEE, 2015, pp. 5206–5210
2015
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A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” Advances in neural information processing systems , vol. 30, 2017
2017
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Y. Wang, R. Skerry-Ryan, D. Stanton, Y. Wu, R. J. Weiss, N. Jaitly, Z. Yang, Y. Xiao, Z. Chen, S. Bengio et al. , “Tacotron: Towards end-to-end speech synthesis,” Proc. Interspeech 2017 , pp. 4006–4010, 2017
2017
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H. Bu, J. Du, X. Na, B. Wu, and H. Zheng, “Aishell-1: An open-source mandarin speech corpus and a speech recognition baseline,” in 2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA) . IEEE, 2017, pp. 1–5
2017
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Y. Jia, R. J. Weiss, F. Biadsy, W. Macherey, M. Johnson, Z. Chen, and Y. Wu, “Direct Speech-to-Speech Translation with a Sequence-to-Sequence Model,” in Proc. Interspeech 2019 , 2019, pp. 1123–1127
2019
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Y. Jia, M. Johnson, W. Macherey, R. J. Weiss, Y. Cao, C.-C. Chiu, N. Ari, S. Laurenzo, and Y. Wu, “Leveraging weakly supervised data to improve end-to-end speech-to-text translation,” in ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2019, pp. 7180–7184
2019
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D. S. Park, W. Chan, Y. Zhang, C.-C. Chiu, B. Zoph, E. D. Cubuk, and Q. V. Le, “SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition,” in Proc. Interspeech , 2019
2019
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N. Li, S. Liu, Y. Liu, S. Zhao, and M. Liu, “Neural speech synthesis with transformer network,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 33, no. 01, 2019, pp. 6706–6713
2019
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Y. Liu, H. Xiong, J. Zhang, Z. He, H. Wu, H. Wang, and C. Zong, “End-to-end speech translation with knowledge distillation,” Proc. Interspeech 2019 , pp. 1128–1132, 2019
2019
Cited alongside, same era.
Y. Jia, R. J. Weiss, F. Biadsy, W. Macherey, M. Johnson, Z. Chen, and Y. Wu, “Direct speech-to-speech translation with a sequence-to-sequence model,” Proc. Interspeech 2019 , pp. 1123–1127, 2019
2019
Cited alongside, same era.
A. D. McCarthy, L. Puzon, and J. Pino, “Skinaugment: auto-encoding speaker conversions for automatic speech translation,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2020, pp. 7924–7928
2020
Cited alongside, same era.
V. Pratap, Q. Xu, A. Sriram, G. Synnaeve, and R. Collobert, “Mls: A large-scale multilingual dataset for speech research,” Proc. Interspeech 2020 , pp. 2757–2761, 2020
2020
Cited alongside, same era.
Y. Zhang and Q. Yang, “A survey on multi-task learning,” IEEE Transactions on Knowledge and Data Engineering , 2021
2021
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2021
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T. Kano, S. Sakti, and S. Nakamura, “Transformer-based direct speech-to-speech translation with transcoder,” in 2021 IEEE Spoken Language Technology Workshop (SLT) . IEEE, 2021, pp. 958–965
2021
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2021
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A. Baevski, Y. Zhou, A. Mohamed, and M. Auli, “wav2vec 2.0: A framework for self-supervised learning of speech representations,” Advances in Neural Information Processing Systems , vol. 33, pp. 12 449–12 460, 2020
2020
Cited alongside, same era.
T. Wolf, L. Debut, V. Sanh, J. Chaumond, C. Delangue, A. Moi, P. Cistac, T. Rault, R. Louf, M. Funtowicz, J. Davison, S. Shleifer, P. von Platen, C. Ma, Y. Jernite, J. Plu, C. Xu, T. L. Scao, S. Gugger, M. Drame, Q. Lhoest, and A. M. Rush, “Transformers: State-of-the-art natural language processing,” in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations . Online: Association for Computational Linguistics, Oct. 2020, pp. 38–45. [Online]. Available: https://www.aclweb.org/anthology/2020.emnlp-demos.6
2020
Cited alongside, same era.
J. Kahn, M. Riviere, W. Zheng, E. Kharitonov, Q. Xu, P.-E. Mazaré, J. Karadayi, V. Liptchinsky, R. Collobert, C. Fuegen et al. , “Libri-light: A benchmark for asr with limited or no supervision,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2020, pp. 7669–7673
2020
Cited alongside, same era.
A. Gulati, J. Qin, C.-C. Chiu, N. Parmar, Y. Zhang, J. Yu, W. Han, S. Wang, Z. Zhang, Y. Wu et al. , “Conformer: Convolution-augmented transformer for speech recognition,” Proc. Interspeech 2020 , pp. 5036–5040, 2020
2020
Cited alongside, same era.
H. Inaguma, S. Kiyono, K. Duh, S. Karita, N. Yalta, T. Hayashi, and S. Watanabe, “Espnet-st: All-in-one speech translation toolkit,” in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations , 2020, pp. 302–311
2020
Cited alongside, same era.
J. Kong, J. Kim, and J. Bae, “Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,” Advances in Neural Information Processing Systems , vol. 33, pp. 17 022–17 033, 2020
2020
Cited alongside, same era.
2021
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P.-A. Duquenne, H. Gong, and H. Schwenk, “Multimodal and multilingual embeddings for large-scale speech mining,” Advances in Neural Information Processing Systems , vol. 34, 2021
2021
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2021
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G. Chen, S. Chai, G. Wang, J. Du, W.-Q. Zhang, C. Weng, D. Su, D. Povey, J. Trmal, J. Zhang et al. , “Gigaspeech: An evolving, multi-domain asr corpus with 10,000 hours of transcribed audio,” in Proc. Interspeech 2021 , 2021
2021
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Z. Yao, D. Wu, X. Wang, B. Zhang, F. Yu, C. Yang, Z. Peng, X. Chen, L. Xie, and X. Lei, “Wenet: Production oriented streaming and non-streaming end-to-end speech recognition toolkit,” in Proc. Interspeech . Brno, Czech Republic: IEEE, 2021
2021
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C. Zhang, X. Tan, Y. Ren, T. Qin, K. Zhang, and T.-Y. Liu, “Uwspeech: Speech to speech translation for unwritten languages,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 35, no. 16, 2021, pp. 14 319–14 327
2021
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