Efficient Language Model Construction for Spoken Dialog Systems by Inducting Language Resources of Different Languages

Author:

Misu Teruhisa,Matsuda Shigeki,Mizukami Etsuo,Kashioka Hideki,Li Haizhou

Publisher

Springer New York

Reference17 articles.

1. Abe, K., Sakti, S., Isotani, R., Kawai, H., Nakamura, S.: Brazilian portuguese acoustic model training based on data borrowing from other language. In: Proceedings of Interspeech, pp. 861–864 (2010)

2. Bulyko, I., Ostendorf, M., Stolcke, A.: Getting more mileage fromweb text sources for conversational speech language modeling using class-dependent mixtures. In: Proceedings of Human Language Technology (HLT), vol. 2, pp. 7–9 (2003)

3. C Liu, L.M.: Training acoustic models with speech data from different languages. In: Proceedings of Multilingual Speech and Language Processing (2006)

4. Dixon, P., Finch, A., Hori, C., Kashioka, H.: Investigation on the effects of asr tuning on speech translation performance. In: Proceedings of The International Workshop on Spoken Language Translation (IWSLT), pp. 167–174 (2011)

5. Lefèvre, F., Mairesse, F., Young, S.: Cross-lingual spoken language understanding from unaligned data using discriminative classification models and machine translation. In: Proceedings of Interspeech, pp. 78–81 (2010)

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