Model Based Abnormal Acoustic Source Detection Using a Microphone Array

Autor:	Heungkyu Lee, June Kim, Jounghoon Beh, Hanseok Ko
Rok vydání:	2005
Předmět:	Microphone array Signal processing Microphone business.industry Computer science Noise-canceling microphone Speech recognition Acoustics Acoustic model business Digital signal processing
Zdroj:	AI 2005: Advances in Artificial Intelligence ISBN: 9783540304623 Australian Conference on Artificial Intelligence
DOI:	10.1007/11589990_121
Popis:	This paper proposes the model based detection method of abnormal acoustic source using a microphone array. General source location algorithm using a microphone array can be used to locate a dominant acoustic source, while this does not verify whether the detected source is permitted one or not on outdoor environments. It is difficult to discern it among a natural environmental sound. Thus, to cope with this problem, we propose the out-of-normal acoustic rejection method based on N-best likelihood ratio test using natural environmental sound models. In order to evaluate the proposed algorithm, a real-time DSP was constructed, and experimental evaluation is described.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d6006171ca829c23f19544769012a405 https://doi.org/10.1007/11589990_121 Zobrazit plný text záznamu