Emotion and mental state recognition from speech

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: EURASIP Journal on Advances in Signal Processing, 2012, 1, S. 15-

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2012

Event: Veröffentlichung

(who): Springer Science and Business Media LLC

(when): 2012

Creator: Epps, Julien
Cowie, Roddy
Narayanan, Shrikanth
Schuller, Björn
Tao, Jianhua

DOI: 10.1186/1687-6180-2012-15

URN: urn:nbn:de:bvb:384-opus4-726424

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:54 AM CEST

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Associated

Epps, Julien
Cowie, Roddy
Narayanan, Shrikanth
Schuller, Björn
Tao, Jianhua
Universität Augsburg
Springer Science and Business Media LLC

Time of origin

2012

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Continuous emotion recognition in speech: do we need recurrence?

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Emotion Recognition in Speech with Latent Discriminative Representations Learning

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Timing levels in segment-based speech emotion recognition

Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends

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Emotion recognition using imperfect speech recognition

Deep recurrent neural networks for emotion recognition in speech

Continuous emotion recognition in speech: do we need recurrence?

Semisupervised autoencoders for speech emotion recognition

Learning with synthesized speech for automatic emotion recognition

Robust speech emotion recognition under different encoding conditions

Emotion Recognition in Speech with Latent Discriminative Representations Learning

Prediction-based learning for continuous emotion recognition in speech

Timing levels in segment-based speech emotion recognition

Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends

Hidden Markov model-based speech emotion recognition

Deep speaker conditioning for speech emotion recognition

Emotion recognition using imperfect speech recognition

Deep recurrent neural networks for emotion recognition in speech

Continuous emotion recognition in speech: do we need recurrence?

Semisupervised autoencoders for speech emotion recognition

Learning with synthesized speech for automatic emotion recognition

Robust speech emotion recognition under different encoding conditions

Emotion Recognition in Speech with Latent Discriminative Representations Learning

Prediction-based learning for continuous emotion recognition in speech

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Emotion and mental state recognition from speech

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Time of origin

Other Objects (12)

Timing levels in segment-based speech emotion recognition

Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends

Hidden Markov model-based speech emotion recognition

Deep speaker conditioning for speech emotion recognition

Emotion recognition using imperfect speech recognition

Deep recurrent neural networks for emotion recognition in speech

Continuous emotion recognition in speech: do we need recurrence?

Semisupervised autoencoders for speech emotion recognition

Learning with synthesized speech for automatic emotion recognition

Robust speech emotion recognition under different encoding conditions

Emotion Recognition in Speech with Latent Discriminative Representations Learning

Prediction-based learning for continuous emotion recognition in speech

Timing levels in segment-based speech emotion recognition

Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends

Hidden Markov model-based speech emotion recognition

Deep speaker conditioning for speech emotion recognition

Emotion recognition using imperfect speech recognition

Deep recurrent neural networks for emotion recognition in speech

Continuous emotion recognition in speech: do we need recurrence?

Semisupervised autoencoders for speech emotion recognition

Learning with synthesized speech for automatic emotion recognition

Robust speech emotion recognition under different encoding conditions

Emotion Recognition in Speech with Latent Discriminative Representations Learning

Prediction-based learning for continuous emotion recognition in speech

Timing levels in segment-based speech emotion recognition

Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends

Hidden Markov model-based speech emotion recognition

Deep speaker conditioning for speech emotion recognition

Emotion recognition using imperfect speech recognition

Deep recurrent neural networks for emotion recognition in speech

Continuous emotion recognition in speech: do we need recurrence?

Semisupervised autoencoders for speech emotion recognition

Learning with synthesized speech for automatic emotion recognition

Robust speech emotion recognition under different encoding conditions

Emotion Recognition in Speech with Latent Discriminative Representations Learning

Prediction-based learning for continuous emotion recognition in speech

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