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Speech model learning method, noise suppression method, speech model learning apparatus, noise suppression apparatus, speech model learning program, and noise suppression program
Speech model learning method, noise suppression method, speech model learning apparatus, noise suppression apparatus, speech model learning program, and noise suppression program
PROBLEM TO BE SOLVED: To improve noise suppression performance.SOLUTION: A noise suppression system 200 records a mixed acoustic signal having an audio signal and noise signal mixed, and extracts a feature quantity, which is used to perform noise suppression, and a feature quantity, which is used to calculate a speech posteriori probability, from the mixed acoustic signal. The noise suppression system 200 uses a logarithmic mel spectrum, speech GMM, normalized logarithmic mel spectrum, and speech DNN resulting from learning to estimate a speaker adaptation parameter and a parameter set of a noise GMM that is a probability model of noise. The noise suppression system 200 uses a complex spectrum, logarithmic mel spectrum, speech GMM, speaker adaptation parameter, parameter set of the noise GMM, and speech posteriori probability to construct a noise suppression filter, and suppresses noise so as to obtain a noise suppressed signal.SELECTED DRAWING: Figure 4
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