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Robust Unsupervised Arousal Rating:A Rule-Based Framework withKnowledge-Inspired Vocal Features

Author:
Bone, Daniel
,
Chi-Chun Lee
,
Narayanan, Shrikanth
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/TAFFC.2014.2326393
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1134387
Keyword(s): emotion recognition,knowledge based systems,speech processing,speech recognition,unsupervised learning,Matlab tool,affect scoring,baseline data,cross-corpora,data conditions,high-dimensional feature set,knowledge-inspired features,knowledge-inspired vocal features,robust unsupervised arousal rating,rule-based framework,rule-based method,scale-continuous bounded arousal rating,single-feature arousal scores,social contexts,speaker baseline model,supervised technique,vocal cues
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    Robust Unsupervised Arousal Rating:A Rule-Based Framework withKnowledge-Inspired Vocal Features

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contributor authorBone, Daniel
contributor authorChi-Chun Lee
contributor authorNarayanan, Shrikanth
date accessioned2020-03-13T00:06:01Z
date available2020-03-13T00:06:01Z
date issued2014
identifier issn1949-3045
identifier other6823638.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1134387?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleRobust Unsupervised Arousal Rating:A Rule-Based Framework withKnowledge-Inspired Vocal Features
typeJournal Paper
contenttypeMetadata Only
identifier padid8315686
subject keywordsemotion recognition
subject keywordsknowledge based systems
subject keywordsspeech processing
subject keywordsspeech recognition
subject keywordsunsupervised learning
subject keywordsMatlab tool
subject keywordsaffect scoring
subject keywordsbaseline data
subject keywordscross-corpora
subject keywordsdata conditions
subject keywordshigh-dimensional feature set
subject keywordsknowledge-inspired features
subject keywordsknowledge-inspired vocal features
subject keywordsrobust unsupervised arousal rating
subject keywordsrule-based framework
subject keywordsrule-based method
subject keywordsscale-continuous bounded arousal rating
subject keywordssingle-feature arousal scores
subject keywordssocial contexts
subject keywordsspeaker baseline model
subject keywordssupervised technique
subject keywordsvocal cues
identifier doi10.1109/TAFFC.2014.2326393
journal titleAffective Computing, IEEE Transactions on
journal volume5
journal issue2
filesize925792
citations0
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