Electrical audio signal processing systems and devices – Noise or distortion suppression – Spectral adjustment
Reexamination Certificate
2006-06-01
2010-10-05
Kuntz, Curtis (Department: 2614)
Electrical audio signal processing systems and devices
Noise or distortion suppression
Spectral adjustment
C704S203000
Reexamination Certificate
active
07809146
ABSTRACT:
Problems of permutation can be solved with high accuracy without utilizing knowledge about original signals or information concerning positions of microphones and the like when each one of plural signals mixed in an audio signal is separated using independent component analysis. A short-time Fourier transformation section generates spectrograms of observation signals from observation signals in time domain. A signal separation section separates the spectrograms of the observation signals into spectrograms of respective signals, to generate spectrograms of separate signals. A permutation problem solution section calculates a scale corresponding to the degree of permutation, e.g., a Kullback-Leiblar information amount calculated by use of a multidimensional probability density function or multidimensional kurtosis, from substantial whole of the spectrograms of the separate signals. Based on the scale, signals at each of frequencies bin of the spectrograms of the separate signals are exchanged between channels, to solve the permutation problem.
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Sawada et al, “A Robust and Precise Method for Solving the Permutation Problem of Frequency-Domain Blind Source Separation”, IEEE Transactions on Speech and Audio Processing, vol. 12, No. 5, Sep. 2004, pp. 530-538.
Hiroe Atsuo
Yamada Keiichi
Kuntz Curtis
Phan Hai
Sonnenschein Nath & Rosenthal LLP
Sony Corporation
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