Title :
Theoretical analysis of musical noise in generalized spectral subtraction: Why should not use power/amplitude subtraction?
Author :
Inoue, Takayuki ; Takahashi, Yu ; Saruwatari, Hiroshi ; Shikano, Kiyohiro ; Rondo, Kazunobu
Author_Institution :
Nara Inst. of Sci. & Technol., Nara, Japan
Abstract :
In this paper, we provide a new theoretical analysis of the amount of musical noise generated via generalized spectral subtraction based on higher-order statistics. Power spectral subtraction is the most commonly used spectral subtraction method, and in our previous study a musical noise assessment theory limited to the power spectral domain was proposed. Therefore, in this paper, we propose a generalization of our previous theory on spectral subtraction for arbitrary exponent parameters. We can thus compare the amount of musical noise between any exponent domains from the results of our analysis. We also clarify that less musical noise is generated when we choose the lower exponent spectral domain; this implies that there is no theoretical justification for using power/amplitude spectral subtraction.
Keywords :
acoustic signal processing; higher order statistics; music; spectral analysis; generalized spectral subtraction method; higher-order statistics; lower exponent spectral domain; musical noise analysis; musical noise assessment theory; power spectral domain; power-amplitude subtraction method; Higher order statistics; Noise; Noise measurement; Noise reduction; Spectral analysis; Speech;
Conference_Titel :
Signal Processing Conference, 2010 18th European
Conference_Location :
Aalborg