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