Recent Advances in End-to-End Spoken Language Understanding-Reference-Cited by-同舟云学术

Recent Advances in End-to-End Spoken Language Understanding

Published:2019 Issue: Volume: Page:44-55
ISSN:0302-9743
Container-title:Statistical Language and Speech Processing
language:
Short-container-title:

Author:

Tomashenko Natalia,Caubrière Antoine,Estève Yannick,Laurent Antoine,Morin Emmanuel

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-31372-2_4

Reference29 articles.

1. Amodei, D., et al.: Deep speech 2: end-to-end speech recognition in English and Mandarin. In: International Conference on Machine Learning, pp. 173–182 (2016)

2. Bahdanau, D., Chorowski, J., Serdyuk, D., Brakel, P., Bengio, Y.: End-to-end attention-based large vocabulary speech recognition. In: ICASSP, pp. 4945–4949. IEEE (2016)

3. Bechet, F., Maza, B., Bigouroux, N., Bazillon, T., El-Beze, M., et al.: DECODA: a call-centre human-human spoken conversation corpus. In: LREC, pp. 1343–1347 (2012)

4. Bonneau-Maynard, H., Ayache, C., Bechet, F., et al.: Results of the French Evalda-Media evaluation campaign for literal understanding. In: LREC (2006)

5. Chen, Y.P., Price, R., Bangalore, S.: Spoken language understanding without speech recognition. In: ICASSP (2018)

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3. Towards a Unified End-to-End Language Understanding System for Speech and Text Inputs;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

4. Multilingual End-To-End Spoken Language Understanding For Ultra-Low Footprint Applications;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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