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Emotional Speech Recognition Using Deep Neural Networks
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In: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03632853 ; Sensors, MDPI, 2022, 22 (4), pp.1414. ⟨10.3390/s22041414⟩ (2022)
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Emotional Speech Recognition Method Based on Word Transcription
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In: Sensors; Volume 22; Issue 5; Pages: 1937 (2022)
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Emotional Speech Recognition Using Deep Neural Networks
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In: Sensors; Volume 22; Issue 4; Pages: 1414 (2022)
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Advanced Fusion-Based Speech Emotion Recognition System Using a Dual-Attention Mechanism with Conv-Caps and Bi-GRU Features
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In: Electronics; Volume 11; Issue 9; Pages: 1328 (2022)
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The Emotion Probe: On the Universality of Cross-Linguistic and Cross-Gender Speech Emotion Recognition via Machine Learning
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In: Sensors; Volume 22; Issue 7; Pages: 2461 (2022)
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Research on Speech Emotion Recognition Based on AA-CBGRU Network
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In: Electronics; Volume 11; Issue 9; Pages: 1409 (2022)
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LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
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In: INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
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In: INTERSPEECH 2021: ; INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
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In: INTERSPEECH 2021: ; INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition
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In: IEEE Spoken Language Technology Workshop ; https://hal.archives-ouvertes.fr/hal-03003469 ; IEEE Spoken Language Technology Workshop, Jan 2021, Virtual, China (2021)
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End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings
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In: ISBN: 978-1-6654-0019-0 ; 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII) ; https://hal.archives-ouvertes.fr/hal-03405970 ; 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), Sep 2021, Nara, Japan ; https://www.acii-conf.net/2021/ (2021)
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Multi-Modal Emotion Recognition Using Speech Features and Text-Embedding
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In: Applied Sciences ; Volume 11 ; Issue 17 (2021)
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Transfer learning from speech to music: towards language-sensitive emotion recognition models ...
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Transfer learning from speech to music: towards language-sensitive emotion recognition models ...
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Resting-state connectivity reveals a role for sensorimotor systems in vocal emotional processing in children
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Call Redistribution for a Call Center Based on Speech Emotion Recognition
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In: Applied Sciences ; Volume 10 ; Issue 13 (2020)
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Significance of Phonological Features in Speech Emotion Recognition
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In: Faculty Publications (2020)
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Robust Methods for the Automatic Quantification and Prediction of Affect in Spoken Interactions
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Emoción, percepción, producción: un estudio psicolingüístico para detectar emociones en el habla
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