Ambiguous classification of emotional speech

Abstract : Speech emotion is high semantic information and its automatic analysis may have many applications such as smart human-computer interactions or multimedia indexing. Among the main difficulties encountered when developing an automatic recognition system are the definition of emotions and their subjective nature. Thus, with the consideration of a limited number of types of emotions, a certain emotional state can be between some pre-defined emotional states, while a too large number of types can lead to an insolvable classification problem. In this case, a classification with the management of ambiguous emotions is necessary. Such an approach is proposed in this paper: in order to make the automatic recognition of emotions as close as possible to the judgments produced by humans, we developed an ambiguous classifier which allows to give multiple labels to emotional speech. This approach has been evaluated on Berlin dataset and compared with multiple human judgments used as ground truth.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01589864
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Submitted on : Tuesday, September 19, 2017 - 10:51:57 AM
Last modification on : Wednesday, November 20, 2019 - 2:38:16 AM

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  • HAL Id : hal-01589864, version 1

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Zhongzhe Xiao, Emmanuel Dellandréa, Weibei Dou, Liming Chen. Ambiguous classification of emotional speech. 6th international conference on Language Resources and Evaluation, LREC 2008, May 2008, Marrakech, Morocco. ⟨hal-01589864⟩

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