A knowledge based real-time speech detector for microphone array videoconferencing system

Author

Cai, Zhibo ; Rahardja, Susanto ; Zou, Qiyue

Author_Institution

Labs. for Inf. Technol., Singapore

Volume

1

fYear

2002

fDate

26-30 Aug. 2002

Firstpage

350

Abstract

This paper presents a novel speech detection method for a microphone array system that is able to effectively detect voice-only events and distinguish against nonspeech and speech-like sounds. The method is robust and suitable for a highly attenuated far-field recordings environment. Using a new 2-dimensional feature set derived from the knowledge of speech production and noise generation, the proposed method has shown its effectiveness in broad-class sound classification, which is observed in the real data simulation shown in this paper.

Keywords

acoustic transducer arrays; array signal processing; knowledge based systems; microphones; signal classification; signal detection; speech processing; teleconferencing; 2D feature set; attenuated far-field recordings environment; broad-class sound classification; knowledge based real-time speech detector; microphone array videoconferencing system; noise generation; nonspeech-like sounds; real data simulation; speech detection method; speech production; speech-like sounds; voice-only events detection; Acoustic noise; Detectors; Event detection; Microphone arrays; Noise robustness; Real time systems; Sensor arrays; Speech enhancement; Teleconferencing; Video recording;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2002 6th International Conference on

Print_ISBN

0-7803-7488-6

Type

conf

DOI

10.1109/ICOSP.2002.1181062

Filename

1181062