Musical noise generation analysis for noise reduction methods based on spectral subtraction and MMSE STSA estimation

Authors:
Yoshihisa Uemura;Yu Takahashi;Hiroshi Saruwatari;Kiyohiro Shikano;Kazunobu Kondo
Affiliations:
Nara Institute of Science and Technology, 630-0192, JAPAN;Nara Institute of Science and Technology, 630-0192, JAPAN;Nara Institute of Science and Technology, 630-0192, JAPAN;Nara Institute of Science and Technology, 630-0192, JAPAN;SA Group, Center for Advanced Sound Technologies, Yamaha Corp., Shizuoka, 438-0192, JAPAN
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

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Abstract

In this paper, we reveal new findings about the generated musical noise in minimum mean-square error short-time spectral amplitude (MMSE STSA) processing. Recently we have proposed a objective metric of musical noise based on kurtosis change ratio on spectral subtraction (SS). Also we found an interesting relationship among the degree of generated musical noise, the shapes of signal-s probability density function, the strength parameter of SS processing. This paper is aimed to automatically evaluate the sound quality of various types of noise reduction methods using kurtosis change ratio. We give a mathematical analysis based on higher-order statistics viewpoint, and lead to a valuable relation in that MMSE STSA has a weakness in speech period distortion rather than noise period, and vice versa in SS.