Improving speech emotion recognition via generative adversarial networks

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Event: Veröffentlichung

(where): Stuttgart

(who): Universitätsbibliothek der Universität Stuttgart

(when): 2019

Creator: Bao, Fang

DOI: 10.18419/opus-10464

URN: urn:nbn:de:bsz:93-opus-ds-104813

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:32 AM CEST

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Bao, Fang
Universitätsbibliothek der Universität Stuttgart

Time of origin

2019

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Improved Wasserstein conditional generative adversarial network speech enhancement

Generating and protecting against adversarial attacks for deep speech-based emotion recognition models

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Self supervised adversarial domain adaptation for cross-corpus and cross-language speech emotion recognition

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Enhancing transferability of black-box adversarial attacks via lifelong learning for speech emotion recognition models

Augmenting generative adversarial networks for speech emotion recognition

Generative Adversarial Network for Facial Emotion Recognition: A Feasibility Study

Black-box adversarial attacks through speech distortion for speech emotion recognition

Multi-task semi-supervised adversarial autoencoding for speech emotion recognition

Improved Wasserstein conditional generative adversarial network speech enhancement

Generating and protecting against adversarial attacks for deep speech-based emotion recognition models

Emotion recognition using imperfect speech recognition

zweidimensionales bewegtes Bild

Generative Adversarial Privacy

Self supervised adversarial domain adaptation for cross-corpus and cross-language speech emotion recognition

Speech emotion recognition based on emotion perception

Cycle-consistent adversarial networks for automatic speech recognition

Enhancing transferability of black-box adversarial attacks via lifelong learning for speech emotion recognition models

Augmenting generative adversarial networks for speech emotion recognition

Generative Adversarial Network for Facial Emotion Recognition: A Feasibility Study

Black-box adversarial attacks through speech distortion for speech emotion recognition

Multi-task semi-supervised adversarial autoencoding for speech emotion recognition

Improved Wasserstein conditional generative adversarial network speech enhancement

Generating and protecting against adversarial attacks for deep speech-based emotion recognition models

Emotion recognition using imperfect speech recognition

zweidimensionales bewegtes Bild

Generative Adversarial Privacy

Self supervised adversarial domain adaptation for cross-corpus and cross-language speech emotion recognition

Speech emotion recognition based on emotion perception

Cycle-consistent adversarial networks for automatic speech recognition

Enhancing transferability of black-box adversarial attacks via lifelong learning for speech emotion recognition models

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Improving speech emotion recognition via generative adversarial networks

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Time of origin

Other Objects (12)

Augmenting generative adversarial networks for speech emotion recognition

Generative Adversarial Network for Facial Emotion Recognition: A Feasibility Study

Black-box adversarial attacks through speech distortion for speech emotion recognition

Multi-task semi-supervised adversarial autoencoding for speech emotion recognition

Improved Wasserstein conditional generative adversarial network speech enhancement

Generating and protecting against adversarial attacks for deep speech-based emotion recognition models

Emotion recognition using imperfect speech recognition

Generative Adversarial Privacy

Self supervised adversarial domain adaptation for cross-corpus and cross-language speech emotion recognition

Speech emotion recognition based on emotion perception

Cycle-consistent adversarial networks for automatic speech recognition

Enhancing transferability of black-box adversarial attacks via lifelong learning for speech emotion recognition models

Augmenting generative adversarial networks for speech emotion recognition

Generative Adversarial Network for Facial Emotion Recognition: A Feasibility Study

Black-box adversarial attacks through speech distortion for speech emotion recognition

Multi-task semi-supervised adversarial autoencoding for speech emotion recognition

Improved Wasserstein conditional generative adversarial network speech enhancement

Generating and protecting against adversarial attacks for deep speech-based emotion recognition models

Emotion recognition using imperfect speech recognition

Generative Adversarial Privacy

Self supervised adversarial domain adaptation for cross-corpus and cross-language speech emotion recognition

Speech emotion recognition based on emotion perception

Cycle-consistent adversarial networks for automatic speech recognition

Enhancing transferability of black-box adversarial attacks via lifelong learning for speech emotion recognition models

Augmenting generative adversarial networks for speech emotion recognition

Generative Adversarial Network for Facial Emotion Recognition: A Feasibility Study

Black-box adversarial attacks through speech distortion for speech emotion recognition

Multi-task semi-supervised adversarial autoencoding for speech emotion recognition

Improved Wasserstein conditional generative adversarial network speech enhancement

Generating and protecting against adversarial attacks for deep speech-based emotion recognition models

Emotion recognition using imperfect speech recognition

Generative Adversarial Privacy

Self supervised adversarial domain adaptation for cross-corpus and cross-language speech emotion recognition

Speech emotion recognition based on emotion perception

Cycle-consistent adversarial networks for automatic speech recognition

Enhancing transferability of black-box adversarial attacks via lifelong learning for speech emotion recognition models

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