Bayesian Learning of a Language Model from Continuous Speech

Author:

NEUBIG Graham1,MIMURA Masato1,MORI Shinsuke1,KAWAHARA Tatsuya1

Affiliation:

1. Graduate School of Informatics, Kyoto University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference40 articles.

1. [1] D. Tannen, Spoken and Written Language: Exploring Orality and Literacy, ABLEX, 1982.

2. [2] Y. Akita and T. Kawahara, “Statistical transformation of language and pronunciation models for spontaneous speech recognition,” IEEE Trans. Audio Speech Language Process., vol.18, no.6, pp.1539-1549, 2010.

3. [3] I. Bazzi and J. Glass, “Learning units for domain-independent out-of-vocabulary word modelling,” Proc. 7th European Conference on Speech Communication and Technology (EuroSpeech), pp.61-64, 2001.

4. Unlimited vocabulary speech recognition with morph language models applied to Finnish

5. [5] S. Abney and S. Bird, “The human language project: Building a universal corpus of the world's languages,” Proc. 48th Annual Meeting of the Association for Computational Linguistics, pp.88-97, Uppsala, Sweden, July 2010.

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