Paper Info
Title
Challenges In Deploying A Microphone Array To Localize And Separate Sound Sources In Real Auditory Scenes
Abstract
Analyzing the auditory scene of real environments is challenging partly because an unknown number and type of sound sources are observed at the same time and partly because these sounds are observed on a significantly different sound pressure level at the microphone. These are difficult problems even with state-of-the-art sound source localization and separation methods. In this paper, we exploit two such methods using a microphone array: (1) Bayesian nonparametric microphone array processing (BNP-MAP), which is capable of separating and localizing sound sources when the number of sound sources is unspecified, and (2) robot audition software "HARK" is capable of separating and localizing in real time. Through experimentation, we found that BNP-MAP is more robust against differences in the sound pressure levels of the source signals and in the spatial closeness of source positions. Experiments analyzing real scenes of human conversations recorded in a big exhibition hall and bird calling recorded at a natural park demonstrate the efficacy and applicability of BNP-MAP.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP)
Auditory scene analysis, Bayesian nonparametrics, simultaneous sound source localization and separation, sounds of different volume, unknown time-varying number of sources
Field
DocType
ISSN
Sound pressure,Auditory scene analysis,Computer science,Noise-canceling microphone,Microphone array,Speech recognition,Software,Time–frequency analysis,Acoustic source localization,Microphone
Conference
1520-6149
Citations 
PageRank 
References 
1
0.34
18
Authors
7
Name
Order
Citations
PageRank
Yoshiaki Bando13912.97
Takuma Otsuka29911.93
Katsutoshi Itoyama315131.35
Kazuyoshi Yoshii448460.96
Yoko Sasaki58215.66
Satoshi KAGAMI61285160.65
Hiroshi G. Okuno72092233.19