Ma, N. orcid.org/0000-0002-4112-3109, Brown, G. orcid.org/0000-0001-8565-5476 and Gonzalez, J. (2015) Exploiting top-down source models to improve binaural localisation of multiple sources in reverberant environments. In: Interspeech 2015. INTERSPEECH 2015, 06-10 Sep 2015, Dresden, Germany. ISCA , pp. 160-164.
Abstract
Relatively few systems for machine hearing exploit top-down information in source localisation, despite there being clear evidence for top-down (e.g., attentional) effects in biological spatial hearing. This paper addresses this issue by proposing a framework for binaural sound localisation that exploits top- down knowledge about the source spectral characteristics in the acoustic scene. Information from source models is used to im- prove the localisation process by selectively weighting binaural cues. The system therefore combines top-down and bottom- up information flow within a single computational framework. Our experiments show that by exploiting source models in this way, sound localisation performance can be improved substan- tially under challenging conditions in which multiple sources and room reverberation are present.
Metadata
Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 ISCA | ||||
Keywords: | inaural source localisation; top-down process-ing; sound source combination; machine hearing; reverberation | ||||
Dates: |
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Institution: | The University of Sheffield | ||||
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) | ||||
Funding Information: |
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Depositing User: | Symplectic Sheffield | ||||
Date Deposited: | 11 Aug 2016 11:31 | ||||
Last Modified: | 13 Mar 2018 10:37 | ||||
Published Version: | http://www.isca-speech.org/archive/interspeech_201... | ||||
Status: | Published | ||||
Publisher: | ISCA | ||||
Refereed: | Yes |