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1
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
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
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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3
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
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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4
Automatic Recognition of Affective Laughter in Spontaneous Dyadic Interactions from Audiovisual Signals
In: International Conference on Multimodal Interaction (ICMI 2018) ; https://hal.archives-ouvertes.fr/hal-01994000 ; International Conference on Multimodal Interaction (ICMI 2018), Oct 2018, Boulder, CO, United States. pp.220-228, ⟨10.1145/3242969.3243012⟩ (2018)
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5
An emotional modulation model as signature for the identification of children developmental disorders
Mencattini, Arianna; Mosciano, Francesco; Comes, Maria Colomba. - : Nature Publishing Group UK, 2018
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6
I Hear You Eat and Speak: Automatic Recognition of Eating Condition and Food Type, Use-Cases, and Impact on ASR Performance
Hantke, Simone; Weninger, Felix; Kurle, Richard. - : Public Library of Science, 2016
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7
At the border of acoustics and linguistics: bag-of-audio-words for the recognition of emotions in speech
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8
Automatic intonation recognition for the prosodic assessment of language-impaired children
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 5, 1328-1342
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9
Time-Scale Feature Extractions for Emotional Speech Characterization
In: ISSN: 1866-9956 ; EISSN: 1866-9964 ; Cognitive Computation ; https://hal.archives-ouvertes.fr/hal-00519132 ; Cognitive Computation, Springer, 2009 (2009)
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