A new approach to acoustic signal monitoring based on the generalized probabilistic descent method

Author

Watanabe, Hideyuki ; Matsumoto, Yuji ; Tanaka, Satoru ; Katagiri, Shigeru

Author_Institution

ATR Human Inf. Process. Res. Labs., Hyogo, Japan

Volume

47

Issue

9

fYear

1999

fDate

9/1/1999 12:00:00 AM

Firstpage

2615

Lastpage

2618

Abstract

We propose a new acoustic signal monitoring method, which enables one to selectively detect the confusers (irregular signal events) and ignore the other true (regular) events, based on a previous pattern recognizer design methodology called the generalized probabilistic descent method. The utility of the proposed method is demonstrated in the task of detecting confusers such as sounds that are due to tool misoperation in a noisy environment

Keywords

acoustic noise; acoustic signal detection; monitoring; pattern recognition; probability; acoustic signal monitoring; confusers detectors; generalized probabilistic descent method; irregular signal events; minimum detection error training; noisy environment; pattern recognizer design; regular events; sounds; tool misoperation; Acoustic signal detection; Biomedical monitoring; Condition monitoring; Distance measurement; Event detection; Humans; Information processing; Medical signal detection; Pattern recognition; Signal detection;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.782227

Filename

782227