A Statistical Language Model for Conventional Speech Reflecting the Previous Utterance of the Other Participant

Hirofumi Yamamoto; Koichi Tanigaki; Yoshinori Sagisaka

doi:10.1002/ecjb.10211

A Statistical Language Model for Conventional Speech Reflecting the Previous Utterance of the Other Participant

Hirofumi Yamamoto^*, Koichi Tanigaki, Yoshinori Sagisaka

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

This paper proposes the construction of a language model for speech recognition in speech translation. The proposed language model is intended to improve speech recognition performance by taking account of the previous utterance content of the counterpart speaker. The previous utterance content of the counterpart speaker is represented by the intermediate language which is generally used by C-star (Spoken Language Translation Research Group). The proposed model is based on a language model that is dependent on the intermediate language representation. An experiment concerning the conversation of hotel reservations shows that the rate of incorrect word recognition is reduced by approximately 5.4% (from 14.7% to 13.9%), and the usefulness of the proposed model is demonstrated.

Original language	English
Pages (from-to)	54-62
Number of pages	9
Journal	Electronics and Communications in Japan, Part II: Electronics (English translation of Denshi Tsushin Gakkai Ronbunshi)
Volume	87
Issue number	1
DOIs	https://doi.org/10.1002/ecjb.10211
Publication status	Published - 2004 Jan
Externally published	Yes

Keywords

Conversation
Intermediate language representation
N-gram
Statistical language model
Task adaptation

ASJC Scopus subject areas

Physics and Astronomy(all)
Computer Networks and Communications
Electrical and Electronic Engineering

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10.1002/ecjb.10211

Cite this

A Statistical Language Model for Conventional Speech Reflecting the Previous Utterance of the Other Participant. / Yamamoto, Hirofumi; Tanigaki, Koichi; Sagisaka, Yoshinori.

In: Electronics and Communications in Japan, Part II: Electronics (English translation of Denshi Tsushin Gakkai Ronbunshi), Vol. 87, No. 1, 01.2004, p. 54-62.

Research output: Contribution to journal › Article › peer-review

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AB - This paper proposes the construction of a language model for speech recognition in speech translation. The proposed language model is intended to improve speech recognition performance by taking account of the previous utterance content of the counterpart speaker. The previous utterance content of the counterpart speaker is represented by the intermediate language which is generally used by C-star (Spoken Language Translation Research Group). The proposed model is based on a language model that is dependent on the intermediate language representation. An experiment concerning the conversation of hotel reservations shows that the rate of incorrect word recognition is reduced by approximately 5.4% (from 14.7% to 13.9%), and the usefulness of the proposed model is demonstrated.

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A Statistical Language Model for Conventional Speech Reflecting the Previous Utterance of the Other Participant

Abstract

Keywords

ASJC Scopus subject areas

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