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1
"You stupid tin box" - children interacting with the AIBO robot: a cross-linguistic emotional speech corpus
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2
Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote ...
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3
Linguistic Measures of Pitch Range in Slavic and Germanic Languages
Andreeva, Bistra [Verfasser]; Möbius, Bernd [Verfasser] [Herausgeber]; Demenko, Grazyna [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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4
The Effect of High-Variability Training on the Perception and Production of French Stops by German Native Speakers
Jügler, Jeanin [Verfasser]; Zimmerer, Frank [Verfasser]; Möbius, Bernd [Verfasser] [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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5
The INTERSPEECH 2016 computational paralinguistics challenge: deception, sincerity and native language
Steidl, Stefan Verfasser]; Hirschberg, Julia Verfasser]. - Augsburg : Universität Augsburg, 2016
DNB Subject Category Language
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6
Introduction to the Special Issue on Broadening the View on Speaker Analysis
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 28 (2014) 2, 343-345
OLC Linguistik
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7
Medium-term speaker states—A review on intoxication, sleepiness and the first challenge
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 28 (2014) 2, 346-374
OLC Linguistik
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8
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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9
Introduction to the special issue on Paralinguistics in Naturalistic Speech and Language
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 1, 1-3
OLC Linguistik
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10
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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11
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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12
Introduction to the special issue on sensing emotion and affect – Facing realism in speech processing
In: Speech communication. - Amsterdam [u.a.] : Elsevier 53 (2011) 9-10, 1059-1061
OLC Linguistik
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13
Sensing emotion and affect - facing realism in speech processing
MPI für Psycholinguistik
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14
Recognising realistic emotions and affect in speech: state of the art and lessons learnt from the first challenge
In: Speech communication. - Amsterdam [u.a.] : Elsevier 53 (2011) 9-10, 1062-1087
BLLDB
OLC Linguistik
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15
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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16
Emotion Recognition using Imperfect Speech Recognition ...
Metze, Florian; Batliner, Anton; Eyben, Florian. - : Carnegie Mellon University, 2010
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17
Emotion Recognition using Imperfect Speech Recognition ...
Metze, Florian; Batliner, Anton; Eyben, Florian. - : Carnegie Mellon University, 2010
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18
Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote ...
Schuller, Bjorn; Metze, Florian; Steidl, Stefan. - : Carnegie Mellon University, 2010
BASE
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19
Automatic classification of emotion-related user states in spontaneous children's speech
Steidl, Stefan. - Berlin : Logos-Verl., 2009
BLLDB
UB Frankfurt Linguistik
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20
Assessment of non-native children's pronunciation: human marking and automatic scoring
Hacker, Christian Verfasser]. - Augsburg : Universität Augsburg, 2005
DNB Subject Category Language
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