Japanese speech databases for robust speech recognition

Atsushi Nakamura; Shoichi Matsunaga; Tohru Shimizu; Masahiro Tonomura; Yoshinori Sagisaka

Japanese speech databases for robust speech recognition

Atsushi Nakamura^*, Shoichi Matsunaga, Tohru Shimizu, Masahiro Tonomura, Yoshinori Sagisaka

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

45 Citations (Scopus)

Abstract

At ATR, a next-generation speech translation system is under development towards natural trans-language communication. To cope with the various requirements to speech recognition technology for the new system, further research efforts should emphasize the robustness for large vocabulary, speaking variations often found in fast spontaneous speech and speaker variances. These are key problems to be solved not only for speech translation but also for the general use of speech recognition in real environments. In this paper, three large speech databases are designed to cope with these problems in speech recognition and the current status of data collection is reported.

Original language	English
Pages	2199-2202
Number of pages	4
Publication status	Published - 1996 Dec 1
Externally published	Yes
Event	Proceedings of the 1996 International Conference on Spoken Language Processing, ICSLP. Part 1 (of 4) - Philadelphia, PA, USA Duration: 1996 Oct 3 → 1996 Oct 6

Other

Other	Proceedings of the 1996 International Conference on Spoken Language Processing, ICSLP. Part 1 (of 4)
City	Philadelphia, PA, USA
Period	96/10/3 → 96/10/6

ASJC Scopus subject areas

Computer Science(all)

Cite this

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title = "Japanese speech databases for robust speech recognition",

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author = "Atsushi Nakamura and Shoichi Matsunaga and Tohru Shimizu and Masahiro Tonomura and Yoshinori Sagisaka",

year = "1996",

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AU - Nakamura, Atsushi

AU - Matsunaga, Shoichi

AU - Shimizu, Tohru

AU - Tonomura, Masahiro

AU - Sagisaka, Yoshinori

PY - 1996/12/1

Y1 - 1996/12/1

N2 - At ATR, a next-generation speech translation system is under development towards natural trans-language communication. To cope with the various requirements to speech recognition technology for the new system, further research efforts should emphasize the robustness for large vocabulary, speaking variations often found in fast spontaneous speech and speaker variances. These are key problems to be solved not only for speech translation but also for the general use of speech recognition in real environments. In this paper, three large speech databases are designed to cope with these problems in speech recognition and the current status of data collection is reported.

AB - At ATR, a next-generation speech translation system is under development towards natural trans-language communication. To cope with the various requirements to speech recognition technology for the new system, further research efforts should emphasize the robustness for large vocabulary, speaking variations often found in fast spontaneous speech and speaker variances. These are key problems to be solved not only for speech translation but also for the general use of speech recognition in real environments. In this paper, three large speech databases are designed to cope with these problems in speech recognition and the current status of data collection is reported.

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T2 - Proceedings of the 1996 International Conference on Spoken Language Processing, ICSLP. Part 1 (of 4)

Y2 - 3 October 1996 through 6 October 1996

ER -

Japanese speech databases for robust speech recognition

Abstract

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ASJC Scopus subject areas

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