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Multichannel Robot Speech Recognition Database: MChRSR
December 30, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
JosΓ© Novoa, Juan Pablo Escudero, JosuΓ© Fredes, Jorge Wuth, Rodrigo Mahu, NΓ©stor Becerra Yoma
arXiv ID
1801.00061
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.RO
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In real human robot interaction (HRI) scenarios, speech recognition represents a major challenge due to robot noise, background noise and time-varying acoustic channel. This document describes the procedure used to obtain the Multichannel Robot Speech Recognition Database (MChRSR). It is composed of 12 hours of multichannel evaluation data recorded in a real mobile HRI scenario. This database was recorded with a PR2 robot performing different translational and azimuthal movements. Accordingly, 16 evaluation sets were obtained re-recording the clean set of the Aurora 4 database in different movement conditions.
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