Patent ID: 7533017

Claim:
A method for recovering target speech based on speech segment detection under a stationary noise, the method comprising: a first step of receiving target speech emitted from a sound source and a noise emitted from another sound source and forming mixed signals at a first microphone and at a second microphone, which are provided at separate locations, performing the Fourier transform of the mixed signals from a time domain to a frequency domain, and extracting estimated spectra Y* and Y corresponding to the target speech and the noise by use of the Independent Component Analysis; a second step of separating the estimated spectra Y* into an estimated spectrum series group y* in which the noise is removed and an estimated spectrum series group y in which the noise remains by applying separation judgment criteria based on a kurtosis of an amplitude distribution of each estimated spectrum series in Y*; a third step of detecting a speech segment and a noise segment in a frame number domain of a total sum F of all the estimated spectrum series in y* by applying detection judgment criteria based on a predetermined threshold value β that is determined by a maximum value of F; and a fourth step of extracting components falling in the speech segment from each of the estimated spectrum series in Y* to generate a recovered spectrum group of the target speech, and performing the inverse Fourier transform of the recovered spectrum group from the frequency domain to the time domain to generate a recovered signal of the target speech.