• Publications
  • Influence
The INTERSPEECH 2009 emotion challenge
The last decade has seen a substantial body of literature on the recognition of emotion from speech. However, in comparison to related speech processing tasks such as Automatic Speech and SpeakerExpand
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The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism
The INTERSPEECH 2013 Computational Paralinguistics Challenge provides for the first time a unified test-bed for Social Signals such as laughter in speech. It further introduces conflict in groupExpand
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The first meeting of focal points jointly convened by the foreign ministries of Costa Rica, Denmark and Ghana, in association with the Global Centre for the Responsibility to Protect, took place onExpand
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Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
More than a decade has passed since research on automatic recognition of emotion from speech has become a new field of research in line with its 'big brothers' speech and speaker recognition. ThisExpand
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The INTERSPEECH 2010 paralinguistic challenge
Abstract Most paralinguistic analysis tasks are lacking agreed-uponevaluation procedures and comparability, in contrast to more‘traditional’ disciplines in speech analysis. The INTERSPEECH2010Expand
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The INTERSPEECH 2012 Speaker Trait Challenge
Keywords: Computational Paralinguistics ; Speaker Traits ; Personality ; Likability ; Pathology Reference EPFL-CONF-174360 Record created on 2012-01-23, modified on 2017-05-10
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How to find trouble in communication
Automatic dialogue systems used, for instance, in call centers, should be able to determine in a critical phase of the dialogue-indicated by the customers vocal expression of anger/irritation-when itExpand
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The HUMAINE Database: Addressing the Collection and Annotation of Naturalistic and Induced Emotional Data
The HUMAINE project is concerned with developing interfaces that will register and respond to emotion, particularly pervasive emotion (forms of feeling, expression and action that colour most ofExpand
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Automatic dialogue systems used in call centers for in stance should be able to determine in a critical phase of the dialogue indicated by the costumers vocal expression of anger irritation when itExpand
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The relevance of feature type for the automatic classification of emotional user states: low level descriptors and functionals
In this paper, we report on classification results for emotional user states (4 classes, German database of children interacting with a pet robot). Six sites computed acoustic and linguistic featuresExpand
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