DocumentCode :
1739548
Title :
Suppressing cocktail party noise for speech acquisition
Author :
Kai Yu ; Xu, Boling ; Dai, Mingyang ; Chongzhi Yu
Author_Institution :
Inst. of Acoust., Nanjing Univ., China
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
831
Abstract :
A novel and improved iterative speech enhancement approach is presented to suppress the undesired speech or noise in cocktail party environments. The key idea in the proposed approach is that a difference phase-correlation-based criterion function (PCF) is introduced to work as the convergence controller for a modified iterative Wiener filter (MIWF). The interference component is attenuated continually until convergence occurs. Evaluation results of objective quality measurement and informal listening test show the proposed system provides speech with good quality and good intelligibility
Keywords :
Wiener filters; acoustic correlation; filtering theory; iterative methods; noise abatement; speech enhancement; speech intelligibility; cocktail party noise suppression; convergence controller; difference phase-correlation-based criterion function; informal listening test; interference component attenuation; iterative speech enhancement; modified iterative Wiener filter; objective quality measurement; speech acquisition; speech intelligibility; speech quality; Acoustics; Adaptive filters; Artificial neural networks; Convergence; Interference; Iterative methods; Signal to noise ratio; Speech enhancement; Wiener filter; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
Type :
conf
DOI :
10.1109/ICOSP.2000.891640
Filename :
891640
Link To Document :
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