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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
Yoshihisa, Uemura
Yu, Takahashi
Hiroshi, Saruwatari
Kiyohiro, Shikano
Kazunobu, Kondo
Publication Year :
2023

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.<br />ICASSP2009: IEEE International Conference on Acoustics, Speech, and Signal Processing, April 19-24, 2009, Taipei, Taiwan.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1378467274
Document Type :
Electronic Resource