Online meeting recognizer with multichannel speaker diarization

Shoko Araki; Takaaki Hori; Masakiyo Fujimoto; Shinji Watanabe; Takuya Yoshioka; Tomohiro Nakatani; Atsushi Nakamura

doi:10.1109/ACSSC.2010.5757829

Online meeting recognizer with multichannel speaker diarization

Shoko Araki^*, Takaaki Hori, Masakiyo Fujimoto, Shinji Watanabe, Takuya Yoshioka, Tomohiro Nakatani, Atsushi Nakamura

^*Corresponding author for this work

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

10 Citations (Scopus)

Abstract

We present our newly developed real-time conversation analyzer for group meetings. The goal of the system is to estimate automatically "who speaks when and what" in an online manner. In our system, "who speaks when" information is first obtained by estimating the directions of arrival (DOAs) of signals. Then, "who speaks what" is estimated with our automatic speech recognition (ASR) system, after suppressing reverberation, background noise, and interference speakers' voices. In this paper, we focus particularly on the speaker diarization ("who speaks when" estimation) method, and we show that the speaker diarization information helps the ASR to reduce insertion errors.

Original language	English
Title of host publication	Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Pages	1697-1701
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.2010.5757829
Publication status	Published - 2010 Dec 1
Externally published	Yes
Event	44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 - Pacific Grove, CA, United States Duration: 2010 Nov 7 → 2010 Nov 10

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Other

Other	44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Country/Territory	United States
City	Pacific Grove, CA
Period	10/11/7 → 10/11/10

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.2010.5757829

Cite this

Araki, S., Hori, T., Fujimoto, M., Watanabe, S., Yoshioka, T., Nakatani, T., & Nakamura, A. (2010). Online meeting recognizer with multichannel speaker diarization. In Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010 (pp. 1697-1701). [5757829] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2010.5757829

Online meeting recognizer with multichannel speaker diarization. / Araki, Shoko; Hori, Takaaki; Fujimoto, Masakiyo et al.

Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010. 2010. p. 1697-1701 5757829 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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

Araki, S, Hori, T, Fujimoto, M, Watanabe, S, Yoshioka, T, Nakatani, T & Nakamura, A 2010, Online meeting recognizer with multichannel speaker diarization. in Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010., 5757829, Conference Record - Asilomar Conference on Signals, Systems and Computers, pp. 1697-1701, 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010, Pacific Grove, CA, United States, 10/11/7. https://doi.org/10.1109/ACSSC.2010.5757829

Araki S, Hori T, Fujimoto M, Watanabe S, Yoshioka T, Nakatani T et al. Online meeting recognizer with multichannel speaker diarization. In Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010. 2010. p. 1697-1701. 5757829. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/ACSSC.2010.5757829

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abstract = "We present our newly developed real-time conversation analyzer for group meetings. The goal of the system is to estimate automatically {"}who speaks when and what{"} in an online manner. In our system, {"}who speaks when{"} information is first obtained by estimating the directions of arrival (DOAs) of signals. Then, {"}who speaks what{"} is estimated with our automatic speech recognition (ASR) system, after suppressing reverberation, background noise, and interference speakers' voices. In this paper, we focus particularly on the speaker diarization ({"}who speaks when{"} estimation) method, and we show that the speaker diarization information helps the ASR to reduce insertion errors.",

author = "Shoko Araki and Takaaki Hori and Masakiyo Fujimoto and Shinji Watanabe and Takuya Yoshioka and Tomohiro Nakatani and Atsushi Nakamura",

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AU - Nakamura, Atsushi

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Online meeting recognizer with multichannel speaker diarization

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