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1
Emotional Speech Recognition Using Deep Neural Networks
In: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03632853 ; Sensors, MDPI, 2022, 22 (4), pp.1414. ⟨10.3390/s22041414⟩ (2022)
Abstract: International audience ; The expression of emotions in human communication plays a very important role in the information that needs to be conveyed to the partner. The forms of expression of human emotions are very rich. It could be body language, facial expressions, eye contact, laughter, and tone of voice. The languages of the world’s peoples are different, but even without understanding a language in communication, people can almost understand part of the message that the other partner wants to convey with emotional expressions as mentioned. Among the forms of human emotional expression, the expression of emotions through voice is perhaps the most studied. This article presents our research on speech emotion recognition using deep neural networks such as CNN, CRNN, and GRU. We used the Interactive Emotional Dyadic Motion Capture (IEMOCAP) corpus for the study with four emotions: anger, happiness, sadness, and neutrality. The feature parameters used for recognition include the Mel spectral coefficients and other parameters related to the spectrum and the intensity of the speech signal. The data augmentation was used by changing the voice and adding white noise. The results show that the GRU model gave the highest average recognition accuracy of 97.47%. This result is superior to existing studies on speech emotion recognition with the IEMOCAP corpus.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; CNN; CRNN; data augmentation; emotion; GRU; IEMOCAP; recognition; speech
URL: https://hal.archives-ouvertes.fr/hal-03632853/document
https://hal.archives-ouvertes.fr/hal-03632853
https://doi.org/10.3390/s22041414
https://hal.archives-ouvertes.fr/hal-03632853/file/sensors-22-01414-v2.pdf
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2
Emotion on a textual level: the structuring function of emotions observed from annotations ; L'émotion à un niveau textuel : la fonction structurante des émotions observée à partir d'annotations
In: ISSN: 1963-1723 ; Discours - Revue de linguistique, psycholinguistique et informatique ; https://hal.archives-ouvertes.fr/hal-03607564 ; Discours - Revue de linguistique, psycholinguistique et informatique, Laboratoire LATTICE, A paraître (2022)
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3
ELAL: An Emotion Lexicon for the Analysis of Alsatian Theatre Plays
In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-03655148 ; Language Resources and Evaluation Conference, Jun 2022, Marseille, France ; https://lrec2022.lrec-conf.org/ (2022)
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4
The role of actors, targets, and witnesses: Examining gratitude exchanges in a social context
In: JOURNAL OF POSITIVE PSYCHOLOGY, vol 17, iss 2 (2022)
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5
Evaluation of Speaker Anonymization on Emotional Speech ; Analyse de l'anonymisation du locuteur sur de la parole émotionnelle
In: JEP2022 - Journées d'Études sur la Parole ; https://hal.archives-ouvertes.fr/hal-03636737 ; JEP2022 - Journées d'Études sur la Parole, Jun 2022, Île de Noirmoutier, France (2022)
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6
Contextual time-continuous emotion recognition based on multimodal data ...
Fedotov, Dmitrii. - : Universität Ulm, 2022
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7
The Effect of Self-Distancing on Emotion Regulation and Autobiographical Remembering ...
Dilek, Senanur. - : Open Science Framework, 2022
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8
К ВОПРОСУ ИЗУЧЕНИЯ МИМИКИ В ЛИНГВИСТИКЕ ...
Моҳинурхон Ахрорхон Қизи Иброҳимова. - : Academic research in educational sciences, 2022
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9
Psychic Life-Biological Molecule Bidirectional Relationship: Pathways, Mechanisms, and Consequences for Medical and Psychological Sciences—A Narrative Review
In: International Journal of Molecular Sciences; Volume 23; Issue 7; Pages: 3932 (2022)
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10
Data for: Prosodic alignment toward emotionally expressive speech: Comparing human and Alexa model talkers ...
Cohn, Michelle. - : Mendeley, 2022
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11
Linking Categorical and Dimensional Approaches to Assess Food-Related Emotions
In: Foods; Volume 11; Issue 7; Pages: 972 (2022)
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12
Perceived Anger in Clear and Conversational Speech: Contributions of Age and Hearing Loss
In: Brain Sciences; Volume 12; Issue 2; Pages: 210 (2022)
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13
In a Bilingual Mood: Mood Affects Lexico-Semantic Processing Differently in Native and Non-Native Languages
In: Brain Sciences; Volume 12; Issue 3; Pages: 316 (2022)
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14
Emotion Understanding in Bilingual Preschoolers
In: Behavioral Sciences; Volume 12; Issue 4; Pages: 115 (2022)
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15
Emotional Speech Recognition Method Based on Word Transcription
In: Sensors; Volume 22; Issue 5; Pages: 1937 (2022)
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16
Affective State Recognition in Livestock—Artificial Intelligence Approaches
In: Animals; Volume 12; Issue 6; Pages: 759 (2022)
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17
Estimating the Emotional Information in Japanese Songs Using Search Engines
In: Sensors; Volume 22; Issue 5; Pages: 1800 (2022)
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18
Emotional Speech Recognition Using Deep Neural Networks
In: Sensors; Volume 22; Issue 4; Pages: 1414 (2022)
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19
A Multitask Learning Framework for Abuse Detection and Emotion Classification
In: Algorithms; Volume 15; Issue 4; Pages: 116 (2022)
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20
Advanced Fusion-Based Speech Emotion Recognition System Using a Dual-Attention Mechanism with Conv-Caps and Bi-GRU Features
In: Electronics; Volume 11; Issue 9; Pages: 1328 (2022)
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