Indoor sound source localization and number estimation using infinite Gaussian mixture models

Author

Longji Sun ; Qi Cheng

Author_Institution

Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA

fYear

2014

Firstpage

1189

Lastpage

1193

Abstract

This paper deals with sound source number estimation and localization in indoor environments using a circular microphone array. The problem is approached in the time-frequency (TF) domain by performing a single source localization algorithm at selected TF points and consequently generating one direction of arrival (DOA) estimate at each of the points. The resulted DOA estimates are assumed from an infinite Gaussian mixture model. The number and the means of Gaussian components correspond to the number and the true DOAs of the sources, respectively. The proposed algorithm is tested using real experiments.

Keywords

Gaussian processes; acoustic signal processing; direction-of-arrival estimation; microphone arrays; mixture models; time-frequency analysis; DOA estimation; TF domain; circular microphone array; direction of arrival estimation; indoor sound source localization estimation; indoor sound source number estimation; infinite Gaussian mixture model; time-frequency domain; Arrays; Direction-of-arrival estimation; Estimation; Gaussian mixture model; Microphones; Speech; Multiple sound source localization; infinite Gaussian mixture model; source number estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2014 48th Asilomar Conference on

Print_ISBN

978-1-4799-8295-0

Type

conf

DOI

10.1109/ACSSC.2014.7094646

Filename

7094646