騒音混入下における骨導音援用による音声抽出法

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2023/09/01

タイトル(英語): Speech Extraction Method with Help of Bone-Conducted Sound under Existence of Background Noise

著者名: 折本　寿子（県立広島大学），生田　顕（県立広島大学）

著者名(英語): Hisako Orimoto (Prefectural University of Hiroshima), Akira Ikuta (Prefectural University of Hiroshima)

キーワード: 音声信号，骨導音，騒音環境，ベイズ定理，高次相関　　speech signal，bone-conducted speech，noise environment，Bayes' theorem，higher order correlation

要約(英語): Speech recognition systems have been applied in various fields due to recent development of digital signal processing techniques. For speech recognition in real circumstances, some countermeasure methods for surrounding noises are indispensable. In previous study, we derived an algorithm to estimate speech signals by using air-conducted sound mixed with noise as observation and using bone-conducted sound. At that time, a model of the observed air-conducted sound was represented by a simple additive model of the sound pressure level of the speech signal and the noise. In this paper, a signal processing method to estimate the speech signal is proposed by observing air-conducted speech under existence of surrounding noise and using bone-conducted speech. More specifically, an estimation algorithm reflecting higher order statistics of variables is derived by applying Bayes' theorem after introducing a stochastic model for the speech signal, air-and bone-conducted speeches. Furthermore, by applying the proposed method to speech signals measured under existence of surrounding noise, its effectiveness is confirmed.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.143 No.9 （2023） 特集：知能メカトロニクス分野と連携する知覚情報技術

本誌掲載ページ: 950-958 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/143/9/143_950/_article/-char/ja/