Monaural speech separation based on multi-scale Fan-Chirp Transform

A novel method for monaural speech separation is presented in this paper. Instead of the traditional short time Fourier transform (STFT) for time-frequency analysis in speech separation, the fan-chirp transform (FChT) has been applied to track the pitch and harmonics of the target speech. This method has two advantages over STFT. Firstly, the spectrum spread of dynamic harmonics within each analysis frame has been alleviated. Secondly, the FChT bases with proper chirp rate could be chosen according to different frequency modulation rates in the simultaneous speech. Furthermore, considering the changeability of frequency modulation rates, a multi-scale FChT is proposed to adaptively adjust the frame length of spectrum analysis. Experimental results prove the validity of the approach in monaural speech separation.