Connecting subspace learning and extreme learning machine in speech emotion recognition
- 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, 21, 3, S. 795-808
- Event
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Veröffentlichung
- (where)
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Augsburg
- (who)
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Universität Augsburg, Institute of Electrical and Electronics Engineers (IEEE)
- (when)
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2019
- Creator
- DOI
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10.1109/tmm.2018.2865834
- URN
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urn:nbn:de:bvb:384-opus4-438592
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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25.03.2025, 1:53 PM CET
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
- Coutinho, Eduardo
- Wu, Chen
- Zhao, Li
- Schuller, Björn
- Universität Augsburg, Institute of Electrical and Electronics Engineers (IEEE)
Time of origin
- 2019
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Autonomous emotion learning in speech: a view of zero-shot speech emotion recognition
Transfer learning emotion manifestation across music and speech
Learning with synthesized speech for automatic emotion recognition
Prediction-based learning for continuous emotion recognition in speech
Emotion Recognition in Speech with Latent Discriminative Representations Learning
Survey of deep representation learning for speech emotion recognition
Sparse autoencoder-based feature transfer learning for speech emotion recognition
Reconstruction-error-based learning for continuous emotion recognition in speech
Cooperative learning and its application to emotion recognition from speech
Linked source and target domain subspace feature transfer learning - exemplified by speech emotion recognition
A two-dimensional framework of multiple kernel subspace learning for recognizing emotion in speech
Feature Transfer Learning for Speech Emotion Recognition
Autonomous emotion learning in speech: a view of zero-shot speech emotion recognition
Transfer learning emotion manifestation across music and speech
Learning with synthesized speech for automatic emotion recognition
Prediction-based learning for continuous emotion recognition in speech
Emotion Recognition in Speech with Latent Discriminative Representations Learning
Survey of deep representation learning for speech emotion recognition
Sparse autoencoder-based feature transfer learning for speech emotion recognition
Reconstruction-error-based learning for continuous emotion recognition in speech
Cooperative learning and its application to emotion recognition from speech
Linked source and target domain subspace feature transfer learning - exemplified by speech emotion recognition
A two-dimensional framework of multiple kernel subspace learning for recognizing emotion in speech
Feature Transfer Learning for Speech Emotion Recognition
Autonomous emotion learning in speech: a view of zero-shot speech emotion recognition
Transfer learning emotion manifestation across music and speech
Learning with synthesized speech for automatic emotion recognition
Prediction-based learning for continuous emotion recognition in speech
Emotion Recognition in Speech with Latent Discriminative Representations Learning
Survey of deep representation learning for speech emotion recognition
Sparse autoencoder-based feature transfer learning for speech emotion recognition
Reconstruction-error-based learning for continuous emotion recognition in speech