TARGET SOUND EMPHASIS DEVICE, NOISE ESTIMATION PARAMETER LEARNING DEVICE, METHOD FOR EMPHASIZING TARGET SOUND, METHOD FOR LEARNING NOISE ESTIMATION PARAMETER, AND PROGRAM

摘要

The present invention provides a noise estimation parameter learning device capable of emphasizing a target sound using a spectral subtraction method while coordinating a plurality of microphones arranged at distant locations even in a large space that tends to cause problematic reverberation or time frame difference. The noise estimation parameter learning device, which is for learning a noise estimation parameter that is used for the estimation of the noise included in an observation signal acquired from the plurality of microphones, comprises: a modeling unit for modeling the probability distribution of the observation signal from a prescribed microphone, modeling the probability distribution of a time frame difference, and modeling the probability distribution of a transfer function gain; a likelihood function setting unit for setting a likelihood function associated with the time frame difference and a likelihood function associated with the transfer function gain on the basis of the modeled probability distribution; and a parameter update unit for repeatedly updating a variable for the two likelihood functions alternately and outputting the time frame difference and the transfer function gain after convergence as a noise estimation parameter.