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1
End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings
In: ISBN: 978-1-6654-0019-0 ; 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII) ; https://hal.archives-ouvertes.fr/hal-03405970 ; 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), Sep 2021, Nara, Japan ; https://www.acii-conf.net/2021/ (2021)
BASE
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2
Paralinguistics in speech and language - state-of-the-art and the challenge
Steidl, Stefan Verfasser]. - Augsburg : Universität Augsburg, 2013
DNB Subject Category Language
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3
Paralinguistics in speech and language—State-of-the-art and the challenge
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 1, 4-39
OLC Linguistik
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4
Corpus of Children Voices for Mid-level Markers and Affect Bursts Analysis
In: Language Ressource and Evaluation Conference (LREC) ; https://hal.archives-ouvertes.fr/hal-01768827 ; Language Ressource and Evaluation Conference (LREC), 2012, Istanbul, Turkey (2012)
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5
Special issue of computer speech and language on “affective speech in real-life interactions”
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 25 (2011) 1, 1-3
OLC Linguistik
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6
Fiction support for realistic portrayals of fear-type emotional manifestations
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 25 (2011) 1, 63-83
BLLDB
OLC Linguistik
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7
Whodunnit - searching for the most important feature types signalling emotion-related user states in speech
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 25 (2011) 1, 4-28
BLLDB
OLC Linguistik
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8
Acoustic measures characterizing anger across corpora collected in artificial or natural context
In: Speech Prosody ; https://hal.archives-ouvertes.fr/hal-01768783 ; Speech Prosody, 2010, Chicago, United States (2010)
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9
Whodunnit - Searching for the Most Important Feature Types Signalling Emotion-Related User States in Speech
In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.archives-ouvertes.fr/hal-00661911 ; Computer Speech and Language, Elsevier, 2010, 25 (1), pp.4. ⟨10.1016/j.csl.2009.12.003⟩ (2010)
Abstract: International audience ; In this article, we describe and interpret a set of acoustic and linguistic features that characterise emotional/emotion-related user states - confined to the one database processed: four classes in a German corpus of children interacting with a pet robot. To this end, we collected a very large feature vector consisting of more than 4000 features extracted at different sites. We performed extensive feature selection (Sequential Forward Floating Search) for seven acoustic and four linguistic types of features, ending up in a small number of 'most important' features which we try to interpret by discussing the impact of different feature and extraction types. We establish different measures of impact and discuss the mutual influence of acoustics and linguistics.
Keyword: automatic classification; emotion; feature selection; feature types
URL: https://hal.archives-ouvertes.fr/hal-00661911
https://hal.archives-ouvertes.fr/hal-00661911/document
https://hal.archives-ouvertes.fr/hal-00661911/file/PEER_stage2_10.1016%252Fj.csl.2009.12.003.pdf
https://doi.org/10.1016/j.csl.2009.12.003
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10
Fear-type emotion recognition for future audio-based surveillance systems
In: Speech communication. - Amsterdam [u.a.] : Elsevier 50 (2008) 6, 487-503
BLLDB
OLC Linguistik
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11
MEDIA: évaluation de la compréhension dans les systèmes de dialogue
In: L'évaluation des technologies de traitement de la langue. - Paris : Hermès Science Publ. [u.a.] (2008), 209-232
BLLDB
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12
Méthodologies d'évaluation des systèmes de dialogue parlé : réflexions et expériences autour de la compréhension
In: Traitement automatique des langues. - Saint-Cloud : ATALA 43 (2002) 2, 155-184
BLLDB
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13
POLYGLOT project : hybrid system NN/HMM for continuous speech recognition
In: Advanced speech applications. - Berlin : Springer (1994), 215-225
BLLDB
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