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	Monaural speech separation based on multi-scale Fan-Chirp Transform
	Zhao, Pei ; Zhang, Zhiping ; Wu, Xihong
	2008
关键词	speech analysis harmonic analysis frequency modulation chirp monaural speech separation
英文摘要	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.; Acoustics; Computer Science, Artificial Intelligence; Computer Science, Cybernetics; Engineering, Biomedical; Engineering, Electrical & Electronic; Mathematical & Computational Biology; Imaging Science & Photographic Technology; Radiology, Nuclear Medicine & Medical Imaging; Telecommunications; EI; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.1109/ICASSP.2008.4517571
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/153478]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhao, Pei,Zhang, Zhiping,Wu, Xihong. Monaural speech separation based on multi-scale Fan-Chirp Transform. 2008-01-01.

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