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A hands-free speech recognition system [1] is essential for the realization of an intuitive, unconstrained, and stress-free human-machine interface, where users can talk naturally because they require no microphone in their hands. In this system, however, since noise and reverberation always degrade speech quality, it is difficult to achieve high recognition performance, compared with the case of using a close-talk microphone such as a headset microphone. Therefore, we must suppress interference sounds to realize a noise-robust hands-free speech recognition system.

Blind Source Separation for Speech Application Under Real Acoustic Environment