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This paper reports the feasibility of estimating the direction of arrival (DOA) using the monaural modulation spectrum (MMS). We investigated monaural cues for DOA estimation by analyzing the MMS of an observed signal in either ear on the basis of the head-related modulation transfer function (HRMTF). As a result, in the DOA estimation for azimuth variations, we found that MMS shapes were approximately...
Noise reduction algorithms are widely used to mitigate noise effects on speech to improve the robustness of speech technology applications. However, they inevitably cause speech distortion. The tradeoff between noise reduction and speech distortion is a key concern in designing noise reduction algorithms. This study proposes a novel framework for noise reduction by considering this tradeoff. We regard...
The tradeoff between noise reduction and speech distortion is a key concern in designing noise reduction algorithms. We have proposed a regularization framework for noise reduction with the consideration of the tradeoff problem. We regard speech estimation as a functional approximation problem in a reproducing kernel Hilbert space (RKHS). In the estimation, the objective function is formulated to...
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