A language model for conversational speech recognition using information designed for speech translation

Hirofumi Yamamoto; Kouichi Tanigaki; Yoshinori Sagisaka

A language model for conversational speech recognition using information designed for speech translation

Hirofumi Yamamoto, Kouichi Tanigaki, Yoshinori Sagisaka

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, a new language model is proposed for speech recognition in conversational speech translation. In conversation, speech strongly depends on the previous utterance of the other participant. Applying this dependency in language modeling, we can reduce the speech recognition error rate. To this end, we propose the following new language model where the content of the previous utterance is expressed by an interlingual representation which is widely used in the spoken language translation research group C-star. The proposed method reduces word error rate by 6% (from 14.7% to 13.9%), confirming our expectations.

Original language	English
Title of host publication	6th International Conference on Spoken Language Processing, ICSLP 2000
Publisher	International Speech Communication Association
ISBN (Electronic)	7801501144, 9787801501141
Publication status	Published - 2000
Externally published	Yes
Event	6th International Conference on Spoken Language Processing, ICSLP 2000 - Beijing, China Duration: 2000 Oct 16 → 2000 Oct 20

Other

Other	6th International Conference on Spoken Language Processing, ICSLP 2000
Country/Territory	China
City	Beijing
Period	00/10/16 → 00/10/20

ASJC Scopus subject areas

Linguistics and Language
Language and Linguistics

Cite this

A language model for conversational speech recognition using information designed for speech translation. / Yamamoto, Hirofumi; Tanigaki, Kouichi; Sagisaka, Yoshinori.

6th International Conference on Spoken Language Processing, ICSLP 2000. International Speech Communication Association, 2000.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yamamoto, H, Tanigaki, K & Sagisaka, Y 2000, A language model for conversational speech recognition using information designed for speech translation. in 6th International Conference on Spoken Language Processing, ICSLP 2000. International Speech Communication Association, 6th International Conference on Spoken Language Processing, ICSLP 2000, Beijing, China, 00/10/16.

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AB - In this paper, a new language model is proposed for speech recognition in conversational speech translation. In conversation, speech strongly depends on the previous utterance of the other participant. Applying this dependency in language modeling, we can reduce the speech recognition error rate. To this end, we propose the following new language model where the content of the previous utterance is expressed by an interlingual representation which is widely used in the spoken language translation research group C-star. The proposed method reduces word error rate by 6% (from 14.7% to 13.9%), confirming our expectations.

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Y2 - 16 October 2000 through 20 October 2000

ER -

A language model for conversational speech recognition using information designed for speech translation

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ASJC Scopus subject areas

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