Training RNN language models on uncertain ASR hypotheses in limited data scenarios

Author:

Sheikh ImranORCID,Vincent EmmanuelORCID,Illina Irina

Funder

Horizon 2020

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference59 articles.

1. Ardila, R., Branson, M., Davis, K., Kohler, M., Meyer, J., Henretty, M., Morais, R., Saunders, L., Tyers, F., Weber, G., 2020. Common Voice: A Massively-Multilingual Speech Corpus. In: Proceedings of the 12th Language Resources and Evaluation Conference. pp. 4218–4222.

2. MAP adaptation of stochastic grammars;Bacchiani;Comput. Speech Lang.,2006

3. Bacchiani, M., Roark, B., 2003. Unsupervised language model adaptation. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). pp. 224–227.

4. Ballinger, B., Allauzen, C., Gruenstein, A., Schalkwyk, J., 2010. On-Demand Language Model Interpolation for Mobile Speech Input. In: Proceedings of Interspeech. pp. 1812–1815.

5. Statistical language model adaptation: Review and perspectives;Bellegarda;Speech Commun.,2004

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