Co-training succeeds in computational paralinguistics

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 26-31 May 2013, Vancouver, BC, Canada, S. 8505-8509

Classification: Informatik

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2013

Event: Veröffentlichung

(where): Piscataway, NJ

(who): IEEE

(when): 2013

Creator: Zhang, Zixing
Deng, Jun
Schuller, Björn

Contributor: Ward, Rabab
Deng, Li
Adams, Michael
Zhao, Vicky

DOI: 10.1109/icassp.2013.6639325

URN: urn:nbn:de:bvb:384-opus4-726049

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:35 AM CEST

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Associated

Zhang, Zixing
Deng, Jun
Schuller, Björn
Ward, Rabab
Deng, Li
Adams, Michael
Zhao, Vicky
Universität Augsburg
IEEE

Time of origin

2013

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Co-training succeeds in computational paralinguistics

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Other Objects (12)

Exploitation of phase-based features for whispered speech emotion recognition

Introducing shared-hidden-layer autoencoders for transfer learning and their application in acoustic emotion recognition

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Cooperative learning and its application to emotion recognition from speech

Recognizing emotions from whispered speech based on acoustic feature transfer learning

Distributing recognition in computational paralinguistics

Attention-augmented end-to-end multi-task learning for emotion prediction from speech

Transfer learning emotion manifestation across music and speech

The effect of personality trait, age, and gender on the performance of automatic speech valence recognition

Linked source and target domain subspace feature transfer learning - exemplified by speech emotion recognition

Semisupervised autoencoders for speech emotion recognition

Exploitation of phase-based features for whispered speech emotion recognition

Introducing shared-hidden-layer autoencoders for transfer learning and their application in acoustic emotion recognition

Towards distributed recognition of emotion from speech

Autoencoder-based unsupervised domain adaptation for speech emotion recognition

Cooperative learning and its application to emotion recognition from speech

Recognizing emotions from whispered speech based on acoustic feature transfer learning

Distributing recognition in computational paralinguistics

Attention-augmented end-to-end multi-task learning for emotion prediction from speech

Transfer learning emotion manifestation across music and speech

The effect of personality trait, age, and gender on the performance of automatic speech valence recognition

Linked source and target domain subspace feature transfer learning - exemplified by speech emotion recognition

Semisupervised autoencoders for speech emotion recognition

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Autoencoder-based unsupervised domain adaptation for speech emotion recognition

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Distributing recognition in computational paralinguistics

Attention-augmented end-to-end multi-task learning for emotion prediction from speech

Transfer learning emotion manifestation across music and speech

The effect of personality trait, age, and gender on the performance of automatic speech valence recognition

Linked source and target domain subspace feature transfer learning - exemplified by speech emotion recognition

Semisupervised autoencoders for speech emotion recognition

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