Blind source separation of mixed speech in a high reverberation environment

Keiju Iso*, Shoko Araki, Shoji Makino, Tomohiro Nakatani, Hiroshi Sawada, Takeshi Yamada, Atsushi Nakamura

*この研究の対応する著者

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

Blind source separation (BSS) is a technique for estimating and separating individual source signals from a mixed signal using only information observed by each sensor. BSS is still being developed for mixed signals that are affected by reverberation. In this paper, we propose combining the BSS method that considers reverberation proposed by Duong et al. with the BSS method reported by Sawada et al., which does not consider reverberation, for the initial setting of the EM algorithm. This proposed method assumes the underdetermined case. In the experiment, we compare the proposed method with the conventional method reported by Duong et al. and that reported by Sawada et al., and demonstrate the effectiveness of the proposed method.

本文言語English
ホスト出版物のタイトル2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11
ページ36-39
ページ数4
DOI
出版ステータスPublished - 2011
外部発表はい
イベント2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11 - Edinburgh, United Kingdom
継続期間: 2011 5 302011 6 1

出版物シリーズ

名前2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11

Other

Other2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11
国/地域United Kingdom
CityEdinburgh
Period11/5/3011/6/1

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用
  • 信号処理
  • 通信

フィンガープリント

「Blind source separation of mixed speech in a high reverberation environment」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル