Source position estimation using single microphone and concave curved reflector

Yasuhiro Oikawa, Yoshio Yamasaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We can estimate direction of arrival (DOA) or source location for many sound sources using just two ears, because we use fundamentally interaural time difference (ITD) and interaural level difference (ILD), and use sophisticatedly the spectral cues based on features of sounds reflected by his/her ear lobes, head or body, i.e., head-related transfer function (HRTF). We can also estimate DOA or source location by just single ear from an experience. In this paper, we propose a new DOA or source location estimation method using single microphone and single concave curved reflector. We make a database consisting of template impulse responses around reflector, i.e., reflector-related transfer function (RRTF). We call these template profiles, which are associated with sound source locations. The received sound is identified among template profiles, and we can estimate DOA or sound source location. We was able to provide a rough estimation of source location in experiments.

Original languageEnglish
Title of host publication38th International Congress and Exposition on Noise Control Engineering 2009, INTER-NOISE 2009
Pages4951-4956
Number of pages6
Publication statusPublished - 2009 Dec 1
Event38th International Congress and Exposition on Noise Control Engineering 2009, INTER-NOISE 2009 - Ottawa, ON, Canada
Duration: 2009 Aug 232009 Aug 26

Publication series

Name38th International Congress and Exposition on Noise Control Engineering 2009, INTER-NOISE 2009
Volume7

Conference

Conference38th International Congress and Exposition on Noise Control Engineering 2009, INTER-NOISE 2009
CountryCanada
CityOttawa, ON
Period09/8/2309/8/26

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Fingerprint Dive into the research topics of 'Source position estimation using single microphone and concave curved reflector'. Together they form a unique fingerprint.

Cite this