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While various end-to-end models for spoken language understanding tasks have been explored recently, this paper is probably the first known attempt to challenge the very difficult task of end-to-end spoken question answering (SQA).
D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann, P. Motlicek, Y. Qian, P. Schwarz et al. , “The kaldi speech recognition toolkit,” in IEEE 2011 workshop on automatic speech recognition and understanding , no. CONF. IEEE Signal Processing Society, 2011
2011
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T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean, “Distributed representations of words and phrases and their compositionality,” in Advances in neural information processing systems , 2013, pp. 3111–3119
2013
Earlier work this paper cites.
L.-s. Lee, J. Glass, H.-y. Lee, and C.-a. Chan, “Spoken content retrieval—beyond cascading speech recognition with text retrieval,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , vol. 23, no. 9, pp. 1389–1420, 2015
2015
Earlier work this paper cites.
A. Bérard, O. Pietquin, C. Servan, and L. Besacier, “Listen and translate: A proof of concept for end-to-end speech-to-text translation,” NIPS End-to-end Learning for Speech and Audio Processing Workshop , 2016
2016
Earlier work this paper cites.
P. Rajpurkar, J. Zhang, K. Lopyrev, and P. Liang, “Squad: 100,000+ questions for machine comprehension of text,” in Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing , 2016, pp. 2383–2392
2016
Earlier work this paper cites.
Y.-A. Chung, C.-C. Wu, C.-H. Shen, H.-Y. Lee, and L.-S. Lee, “Audio word2vec: Unsupervised learning of audio segment representations using sequence-to-sequence autoencoder,” Interspeech 2016 , pp. 765–769, 2016
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
B.-R. Lu, F. Shyu, Y.-N. Chen, H.-Y. Lee, and L.-S. Lee, “Order-preserving abstractive summarization for spoken content based on connectionist temporal classification,” Proc. Interspeech 2017 , pp. 2899–2903, 2017
2017
Earlier work this paper cites.
M. Seo, A. Kembhavi, A. Farhadi, and H. Hajishirzi, “Bidirectional attention flow for machine comprehension,” in International Conference on Learning Representations , 2017
2017
Earlier work this paper cites.
D. Chen, A. Fisch, J. Weston, and A. Bordes, “Reading wikipedia to answer open-domain questions,” in Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , 2017, pp. 1870–1879
2017
Earlier work this paper cites.
D. Serdyuk, Y. Wang, C. Fuegen, A. Kumar, B. Liu, and Y. Bengio, “Towards end-to-end spoken language understanding,” in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2018, pp. 5754–5758
2018
Earlier work this paper cites.
P. Haghani, A. Narayanan, M. Bacchiani, G. Chuang, N. Gaur, P. Moreno, R. Prabhavalkar, Z. Qu, and A. Waters, “From audio to semantics: Approaches to end-to-end spoken language understanding,” in 2018 IEEE Spoken Language Technology Workshop (SLT) . IEEE, 2018, pp. 720–726
2018
Earlier work this paper cites.
Y.-P. Chen, R. Price, and S. Bangalore, “Spoken language understanding without speech recognition,” in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2018, pp. 6189–6193
2018
Cited alongside, same era.
A. Radford, K. Narasimhan, T. Salimans, and I. Sutskever, “Improving language understanding by generative pre-training,” 2018
2018
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P. Rajpurkar, R. Jia, and P. Liang, “Know what you don’t know: Unanswerable questions for squad,” in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , 2018, pp. 784–789
2018
Cited alongside, same era.
C.-H. Lee, S.-L. Wu, C.-L. Liu, and H.-y. Lee, “Spoken squad: A study of mitigating the impact of speech recognition errors on listening comprehension,” Proc. Interspeech 2018 , pp. 3459–3463, 2018
2018
Cited alongside, same era.
2019
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2019
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2019
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Z. Yang, Z. Dai, Y. Yang, J. Carbonell, R. R. Salakhutdinov, and Q. V. Le, “Xlnet: Generalized autoregressive pretraining for language understanding,” in Advances in neural information processing systems , 2019, pp. 5754–5764
2019
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Y.-A. Chung and J. Glass, “Speech2vec: A sequence-to-sequence framework for learning word embeddings from speech,” Proc. Interspeech 2018 , pp. 811–815, 2018
2018
Cited alongside, same era.
Y.-H. Wang, H.-y. Lee, and L.-s. Lee, “Segmental audio word2vec: Representing utterances as sequences of vectors with applications in spoken term detection,” in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2018, pp. 6269–6273
2018
Cited alongside, same era.
2018
Cited alongside, same era.
Y.-A. Chung, W.-H. Weng, S. Tong, and J. Glass, “Unsupervised cross-modal alignment of speech and text embedding spaces,” in Advances in Neural Information Processing Systems , 2018, pp. 7354–7364
2018
Cited alongside, same era.
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) , 2019, pp. 4171–4186
2019
Cited alongside, same era.
A. T. Liu, S. wen Yang, P.-H. Chi, P. chun Hsu, and H. yi Lee, “Mockingjay: Unsupervised speech representation learning with deep bidirectional transformer encoders,” 2019
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2019
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L. Lugosch, M. Ravanelli, P. Ignoto, V. S. Tomar, and Y. Bengio, “Speech model pre-training for end-to-end spoken language understanding,” Proc. Interspeech 2019 , pp. 814–818, 2019
2019
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E. Palogiannidi, I. Gkinis, G. Mastrapas, P. Mizera, and T. Stafylakis, “End-to-end architectures for asr-free spoken language understanding,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2020, pp. 7974–7978
2020
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R. Price, “End-to-end spoken language understanding without matched language speech model pretraining data,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2020, pp. 7979–7983
2020
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Y. Huang, H. Kuo, S. Thomas, Z. Kons, K. Audhkhasi, B. Kingsbury, R. Hoory, and M. Picheny, “Leveraging unpaired text data for training end-to-end speech-to-intent systems,” in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2020, pp. 7984–7988
2020
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A. Baevski, S. Schneider, and M. Auli, “vq-wav2vec: Self-supervised learning of discrete speech representations,” International Conference on Learning Representations , 2020
2020
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M. Joshi, D. Chen, Y. Liu, D. S. Weld, L. Zettlemoyer, and O. Levy, “Spanbert: Improving pre-training by representing and predicting spans,” Transactions of the Association for Computational Linguistics , vol. 8, pp. 64–77, 2020
2020
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