Exploring zero-shot emotion recognition in speech using semantic-embedding prototypes
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: IEEE Transactions on Multimedia, S.
- Event
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Veröffentlichung
- (where)
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Augsburg
- (who)
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Universität Augsburg
- (when)
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2021
- Event
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Veröffentlichung
- (where)
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New York, NY
- (who)
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Institute of Electrical and Electronics Engineers (IEEE)
- (when)
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2021
- Creator
- DOI
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10.1109/tmm.2021.3087098
- URN
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urn:nbn:de:bvb:384-opus4-915884
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:31 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Xu, Xinzhou
- Deng, Jun
- Cummins, Nicholas
- Zhang, Zixing
- Zhao, Li
- Schuller, Björn
- Universität Augsburg
- Institute of Electrical and Electronics Engineers (IEEE)
Time of origin
- 2021
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Multiscale kernel locally penalised discriminant analysis exemplified by emotion recognition in speech
Rethinking auditory affective descriptors through zero-shot emotion recognition in speech
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Recognizing emotions from whispered speech based on acoustic feature transfer learning
Cooperative learning and its application to emotion recognition from speech
Autoencoder-based unsupervised domain adaptation for speech emotion recognition
Adversarial training in affective computing and sentiment analysis: recent advances and perspectives
Autonomous emotion learning in speech: a view of zero-shot speech emotion recognition
A two-dimensional framework of multiple kernel subspace learning for recognizing emotion in speech
Multiscale kernel locally penalised discriminant analysis exemplified by emotion recognition in speech
Rethinking auditory affective descriptors through zero-shot emotion recognition in speech
Advanced data exploitation in speech analysis: an overview
The university of passau open emotion recognition system for the multimodal emotion challenge
Automatic assessment of depression from speech via a hierarchical attention transfer network and attention autoencoders
Distributing recognition in computational paralinguistics
Recognizing emotions from whispered speech based on acoustic feature transfer learning
Cooperative learning and its application to emotion recognition from speech
Autoencoder-based unsupervised domain adaptation for speech emotion recognition