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• W2010122015 abstract "This paper presents the upper-limit evaluation of robot audition based on ICA-BSS in multi-source, barge-in and highly reverberant conditions. The goal is that the robot can automatically distinguish a target speech from its own speech and other sound sources in a reverberant environment. We focus on the multi-channel semi-blind ICA (MCSB-ICA), which is one of the sound source separation methods with a microphone array, to achieve such an audition system because it can separate sound source signals including reverberations with few assumptions on environments. The evaluation of MCSB-ICA has been limited to robot's speech separation and reverberation separation. In this paper, we evaluate MCSB-ICA extensively by applying it to multi-source separation problems under common reverberant environments. Experimental results prove that MCSB-ICA outperforms conventional ICA by 30 points in automatic speech recognition performance." @default.
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• W2010122015 date "2010-05-01" @default.
• W2010122015 modified "2023-09-27" @default.
• W2010122015 title "Upper-limit evaluation of robot audition based on ICA-BSS in multi-source, barge-in and highly reverberant conditions" @default.
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• W2010122015 doi "https://doi.org/10.1109/robot.2010.5509891" @default.
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