Speech source separation and noise reduction using a MMSE short-time spectral amplitude estimator

摘要

A new blind speech extraction method consisting of a minimum mean-square error short-time spectral amplitude (MMSE STSA) estimator and noise estimation based on independent component analysis (ICA) is proposed in this paper. First, a computer simulation is performed using the artificial noise whose stationarity could be controlled parametrically and the obtained results indicate that the proposed method is superior to conventional methods such as blind spatial subtraction array (BSSA) and the original MMSE STSA estimator under the non-point-source and nonstationary noise condition.