Go To Program 21 Single-Channel Source Separation of Speech and Music using Short-Time Spectral Kurtosis Yevgeni Litvin 1 Israel Cohen 1 Jacob Benesty 2 1 Electrical Engineering, Technion - Israel Institute of Technology, Haifa, Israel 2 INRS-EMT, Universite du Quebec, Montreal, QC H5A, 1K6, Canada In this paper, the problem of blind monaural speech/music source separation is addressed using short-time spectral kurtosis (STSK). An estimator for STSK is introduced, and a source separation algorithm is formulated that relies on the spectralkurtosis differences of distinct signal classes. The performance of the proposed algorithm is evaluated on mixtures of speech signals and various types of music signals. The results are compared to those obtained by a competing monaural source separation algorithm, which is based on a Gaussian mixture model (GMM). View pdf