Hierarchical attention transfer networks for depression assessment from speech

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), Barcelona, Spain, 4-8 May 2020, S. 7159-7163

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2020

Event: Veröffentlichung

(where): New York, NY

(who): IEEE

(when): 2020

Creator: Zhao, Ziping
Bao, Zhongtian
Zhang, Zixing
Cummins, Nicholas
Wang, Haishuai
Schuller, Björn

Contributor: Pérez-Neira, Ana I.
Mestre, Xavier
Closas, Pau
Bugallo, Monica

DOI: 10.1109/icassp40776.2020.9053207

URN: urn:nbn:de:bvb:384-opus4-917054

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:27 AM CEST

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Associated

Zhao, Ziping
Bao, Zhongtian
Zhang, Zixing
Cummins, Nicholas
Wang, Haishuai
Schuller, Björn
Pérez-Neira, Ana I.
Mestre, Xavier
Closas, Pau
Bugallo, Monica
Universität Augsburg
IEEE

Time of origin

2020

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Hierarchical attention transfer networks for depression assessment from speech

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Other Objects (12)

Advanced data exploitation in speech analysis: an overview

Adversarial training in affective computing and sentiment analysis: recent advances and perspectives

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Feature selection in multimodal continuous emotion prediction

Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments

Context modelling using hierarchical attention networks for sentiment and self-assessed emotion detection in spoken narratives

Exploring zero-shot emotion recognition in speech using semantic-embedding prototypes

Attention-enhanced connectionist temporal classification for discrete speech emotion recognition

Advanced data exploitation in speech analysis: an overview

Adversarial training in affective computing and sentiment analysis: recent advances and perspectives

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

Reconstruction-error-based learning for continuous emotion recognition in speech

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Attention-enhanced connectionist temporal classification for discrete speech emotion recognition

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Adversarial training in affective computing and sentiment analysis: recent advances and perspectives

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

Reconstruction-error-based learning for continuous emotion recognition in speech

Guest editorial: special issue on adversarial learning in computational intelligence

Prediction-based learning for continuous emotion recognition in speech

I know how you feel now, and here's why!: Demystifying time-continuous high resolution text-based affect predictions in the wild

Feature selection in multimodal continuous emotion prediction

Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments

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