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We introduce XTREME-S, a new benchmark to evaluate universal cross-lingual speech representations in many languages.
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T. Alumäe, D. Karakos, W. Hartmann, R. Hsiao, L. Zhang, L. Nguyen, S. Tsakalidis, and R. Schwartz, “The 2016 bbn georgian telephone speech keyword spotting system,” in ICASSP , 2017
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M. A. Di Gangi, R. Cattoni, L. Bentivogli, M. Negri, and M. Turchi, “MuST-C: a Multilingual Speech Translation Corpus,” in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) . Minneapolis, Minnesota: Association for Computational Linguistics, Jun. 2019, pp. 2012–2017. [Online]. Available: https://www.aclweb.org/anthology/N19-1202
2017
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A. Ragni, Q. Li, M. J. F. Gales, and Y. Wang, “Confidence estimation and deletion prediction using bidirectional recurrent neural networks,” in SLT , Athens, 2018
2018
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A. Conneau, R. Rinott, G. Lample, A. Williams, S. R. Bowman, H. Schwenk, and V. Stoyanov, “Xnli: Evaluating cross-lingual sentence representations,” in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, 2018
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J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of deep bidirectional transformers for language understanding,” in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) . Minneapolis, Minnesota: Association for Computational Linguistics, Jun. 2019, pp. 4171–4186. [Online]. Available: https://www.aclweb.org/anthology/N19-1423
2019
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H. Inaguma, J. Cho, M. K. Baskar, T. Kawahara, and S. Watanabe, “Transfer learning of language-independent end-to-end asr with language model fusion,” in ICASSP , 2019
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A. W. Black, “Cmu wilderness multilingual speech dataset,” in ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2019, pp. 5971–5975
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A. Wang, A. Singh, J. Michael, F. Hill, O. Levy, and S. R. Bowman, “GLUE: A multi-task benchmark and analysis platform for natural language understanding,” in ICLR , 2019
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J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “Bert: Pre-training of deep bidirectional transformers for language understanding,” Proc. of NAACL , 2019
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M. Artetxe and H. Schwenk, “Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond,” Transactions of the Association for Computational Linguistics , vol. 7, pp. 597–610, 2019
2019
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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,” in Proc. of NeurIPS , 2020
2020
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A. Conneau, K. Khandelwal, N. Goyal, V. Chaudhary, G. Wenzek, F. Guzmán, E. Grave, M. Ott, L. Zettlemoyer, and V. Stoyanov, “Unsupervised cross-lingual representation learning at scale,” in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . Online: Association for Computational Linguistics, Jul. 2020, pp. 8440–8451. [Online]. Available: https://www.aclweb.org/anthology/2020.acl-main.747
2021
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2021
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C. Wang, M. Riviere, A. Lee, A. Wu, C. Talnikar, D. Haziza, M. Williamson, J. Pino, and E. Dupoux, “VoxPopuli: A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation,” in Proc. of ACL , 2021
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2020
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V. Pratap, Q. Xu, A. Sriram, G. Synnaeve, and R. Collobert, “Mls: A large-scale multilingual dataset for speech research,” in Proc. of Interspeech , 2020
2020
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C. Wang, A. Wu, and J. Pino, “Covost 2 and massively multilingual speech-to-text translation,” arXiv , 2020
2020
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J. Hu, S. Ruder, A. Siddhant, G. Neubig, O. Firat, and M. Johnson, “Xtreme: A massively multilingual multi-task benchmark for evaluating cross-lingual generalisation,” in International Conference on Machine Learning . PMLR, 2020, pp. 4411–4421
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2020
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R. Ardila, M. Branson, K. Davis, M. Henretty, M. Kohler, J. Meyer, R. Morais, L. Saunders, F. M. Tyers, and G. Weber, “Common voice: A massively-multilingual speech corpus,” Proc. of LREC , 2020
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M. Rivière, A. Joulin, P.-E. Mazaré, and E. Dupoux, “Unsupervised pretraining transfers well across languages,” in Proc. of ICASSP , 2020
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J. Iranzo-Sánchez, J. A. Silvestre-Cerdà, J. Jorge, N. Roselló, A. Giménez, A. Sanchis, J. Civera, and A. Juan, “Europarl-st: A multilingual corpus for speech translation of parliamentary debates,” in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2020, pp. 8229–8233
2020
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J. Valk and T. Alumäe, “Voxlingua107: a dataset for spoken language recognition,” in Proc. of SLT , 2020
2020
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2021
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——, “Unsupervised cross-lingual representation learning for speech recognition,” in Proc. of Interspeech , 2021
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S. Evain, H. Nguyen, H. Le, M. Zanon Boito, S. Mdhaffar, S. Alisamir, Z. Tong, N. Tomashenko, M. Dinarelli, T. Parcollet, A. Allauzen, Y. Estève, B. Lecouteux, F. Portet, S. Rossato, F. Ringeval, D. Schwab, and L. Besacier, “Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark,” in 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks , no. NeurIPS, 2021. [Online]. Available: https://github.com/pytorch/fairseq/blob/main/examples/wav2vec/config/
2021
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N. Goyal, C. Gao, V. Chaudhary, P.-J. Chen, G. Wenzek, D. Ju, S. Krishnan, M. Ranzato, F. Guzmán, and A. Fan, “The flores-101 evaluation benchmark for low-resource and multilingual machine translation,” 2021
2021
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2021
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2021
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A. Bapna, C. Cherry, Y. Zhang, Y. Jia, M. Johnson, Y. Cheng, S. Khanuja, J. Riesa, and A. Conneau, “mslam: Massively multilingual joint pre-training for speech and text,” 2022
2022
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