Indoor multiple sound source localization using a novel data selection scheme

Autor:	Qi Cheng, Longji Sun
Rok vydání:	2014
Předmět:	Microphone array Data point Computer science Histogram Computation Speech recognition Point (geometry) Acoustic source localization Algorithm Selection (genetic algorithm) Power (physics)
Zdroj:	CISS
DOI:	10.1109/ciss.2014.6814189
Popis:	The multiple sound source localization problem in reverberant environments is studied by using a circular microphone array. The problem is approached by performing single source localization at each of the selected time-frequency (TF) data points from the received signals followed by a histogram technique to achieve robust localization. A novel TF data point selection scheme is proposed based on the ratio of the power of a TF point to that of its adjacent preceding TF point at the same frequency. The method introduces little extra computation and is suitable for real-time implementation. The proposed algorithm is compared with the algorithm in [1] to show its effectiveness and efficiency using extensive simulations.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5909ab3616ae7d6dab7d00381836399d https://doi.org/10.1109/ciss.2014.6814189 Zobrazit plný text záznamu