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Self-Produced Speech Enhancement and Suppression Method using Air- and Body-Conductive Microphones

机译:使用空气和身体传导麦克风的自产语音增强和抑制方法

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This paper presents a self-produced speech enhancement and suppression method for multichannel auditory signals recorded with both air- and body-conductive microphones. In processing auditory sound signals recorded with wearable microphones for memorizing conversation and acoustic scenes and events that each user experienced in daily life, source separation is a promising technique as only a mixing of various sound sources can be observed. To separate the recorded signals into self-produced speech, i.e., user's own speech and ambient environmental sounds, we propose a self-produced speech enhancement and suppression method using not only air-conductive microphones to record multichannel air-conducted signals but also body-conductive microphones to record body-conducted signals. A separation filter applied to the multichannel air-conducted signals is estimated in an unsupervised manner while effectively using the body-conducted signals dominantly including self-produced speech components. We conduct an experimental evaluation to investigate the effectiveness of the proposed method, thereby demonstrating that the proposed method outperforms the conventional method using only the air-conductive microphones.
机译:本文提出了一种自产语音增强和抑制方法,用于同时通过空气和身体传导麦克风记录的多通道听觉信号。在处理用可穿戴式麦克风记录的听觉声音信号以记住每个用户在日常生活中所经历的对话和声学场景以及事件时,信号源分离是一种有前途的技术,因为只能观察到各种声源的混合。为了将录制的信号分为自己产生的语音(即用户自己的语音和周围环境的声音),我们提出了一种自己产生的语音增强和抑制方法,该方法不仅使用空气传声器来记录多通道空气传导信号,而且还使用导电麦克风来记录人体传导的信号。在有效地使用主要包括自产语音成分的身体传导信号的同时,以无监督的方式估算了应用于多通道空气传导信号的分离滤波器。我们进行了一项实验评估,以研究该方法的有效性,从而证明该方法优于仅使用空气传声器的传统方法。

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