| 摘要 |
PROBLEM TO BE SOLVED: To solve a permutation problem with high precision without using knowledge about a source signal nor information on the position of a microphone etc., when a speech signal generated by mixing a plurality of signals is separated into the individual signals by using independent component analysis. SOLUTION: A short-time Fourier transformation section 12 generates a spectrogram of an observation signal from the observation signal of a time domain and a signal separation section 13 separates the spectrogram of the observation signal into signals and generates spectrograms by the separate signals. A permutation problem solution section 15 calculates a scale corresponding to a degree of permutation, in concrete, a Kullback-Leiblar information quantity calculated by using a multidimensional probability density function or multidimensional kurtosis from almost all of the spectrograms of the separate signal, and replaces signals of respective frequencies bin of the spectrograms of the separate signals between channels based upon the scale to solve the permutation problem. COPYRIGHT: (C)2007,JPO&INPIT
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