NDLI: Evaluation of Prosodic and Voice Quality Features on Automatic Extraction of Paralinguistic Information

Content Provider	IEEE Xplore Digital Library
Author	Ishi, C.T. Ishiguro, H. Hagita, N.
Copyright Year	2006
Description	Author affiliation: ATR, Kyoto (Ishi, C.T.; Ishiguro, H.; Hagita, N.)
Abstract	Aiming to realize a non-verbal communication between humans and robots, the use of acoustic parameters related with voice quality features, besides classical prosodic features, is proposed and evaluated for automatic extraction of paralinguistic information (intentions, attitudes, and emotions) in dialog speech. Experimental results indicated that prosodic features were effective for detecting groups of paralinguistic information expressing specific functions (such as affirmation, denial, and asking for repetition), accounting for 61% of the global identification rate. Voice quality features were effective for detecting part of the paralinguistic information expressing emotions or attitudes (such as surprise, disgust and admiration), leading to 12 % improvement in the global identification rate
Starting Page	374
Ending Page	379
File Size	8042841
Page Count	6
File Format	PDF
ISBN	1424402581
DOI	10.1109/IROS.2006.281786
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Data mining Robotics and automation Speech analysis Intelligent robots Human robot interaction Speech recognition Information processing Microphones Acoustic signal detection automatic detection Prosody voice quality paralinguistic information non-verbal communication
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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