Title :
Monaural voiced speech segregation based on elaborate harmonic grouping strategy
Author :
Zhang, Xueliang ; Liu, Wenju ; Li, Peng ; Xu, Bo
Author_Institution :
Nat. Lab. of Pattern Recognition (NLPR), Chinese Acad. of Sci., Beijing
Abstract :
Monaural speech segregation is a very challenging problem which has been studied by many researchers. In this paper, we focus on voiced speech segregation. Different strategies are used to segregate resolved and unresolved harmonics respectively. For resolved harmonics, "harmonicity" principle and a novel mechanism based on "minimum amplitude" principle are employed. Amplitude modulation rate is extracted by "enhanced" autocorrelation function of envelope to segregate unresolved harmonics which is more robust than previous method. An elaborate rule is also introduced to determine the regions dominated by resolved and by unresolved harmonics. Proposed algorithm is evaluated on Cooke\´s 100 mixtures and compared with a state-of-the-art algorithm Hu and Wang model. Results show that proposed algorithm is more robust than the Hu and Wang model.
Keywords :
speech processing; amplitude modulation rate; computational auditory scene analysis; elaborate harmonic grouping strategy; monaural voiced speech segregation; speech processing; Acoustic noise; Amplitude modulation; Autocorrelation; Humans; Image analysis; Noise robustness; Psychoacoustic models; Speech; Telecommunication computing; Working environment noise; Computational auditory scene analysis; Monaural speech separation; Speech processing;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960670
