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» On the use of speaker superfactors for speaker recognition
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ICASSP
2010
IEEE
13 years 7 months ago
Visual emotion recognition using compact facial representations and viseme information
Emotion expression is an essential part of human interaction. Rich emotional information is conveyed through the human face. In this study, we analyze detailed motion-captured fac...
Angeliki Metallinou, Carlos Busso, Sungbok Lee, Sh...
LREC
2010
150views Education» more  LREC 2010»
13 years 8 months ago
Eslo: From Transcription to Speakers' Personal Information Annotation
This paper presents the preliminary works to put online a French oral corpus and its transcription. This corpus is the Socio-Linguistic Survey in Orleans, realized in 1968. First,...
Iris Eshkol, Denis Maurel, Nathalie Friburger
LREC
2008
119views Education» more  LREC 2008»
13 years 8 months ago
Text Independent Speaker Identification in Multilingual Environments
Speaker identification and verification systems have a poor performance when model training is done in one language while the testing is done in another. This situation is not unu...
Iker Luengo, Eva Navas, Iñaki Sainz, Ibon S...
MM
2009
ACM
178views Multimedia» more  MM 2009»
14 years 2 days ago
Automatic role recognition in multiparty recordings using social networks and probabilistic sequential models
The automatic analysis of social interactions is attracting significant interest in the multimedia community. This work addresses one of the most important aspects of the problem...
Sarah Favre, Alfred Dielmann, Alessandro Vinciarel...
SPEECH
2010
89views more  SPEECH 2010»
13 years 2 months ago
Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates
Despite years of speech recognition research, little is known about which words tend to be misrecognized and why. Previous work has shown that errors increase for infrequent words...
Sharon Goldwater, Daniel Jurafsky, Christopher D. ...