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End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency
  Call Centers Data Recordings

End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings

28 October 2021
Théo Deschamps-Berger
L. Lamel
Laurence Devillers
ArXivPDFHTML

Papers citing "End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings"

3 / 3 papers shown
Title
A Multi-Task, Multi-Modal Approach for Predicting Categorical and
  Dimensional Emotions
A Multi-Task, Multi-Modal Approach for Predicting Categorical and Dimensional Emotions
Alex-Răzvan Ispas
Théo Deschamps-Berger
Laurence Devillers
40
1
0
31 Dec 2023
On the Effectiveness of ASR Representations in Real-world Noisy Speech Emotion Recognition
On the Effectiveness of ASR Representations in Real-world Noisy Speech Emotion Recognition
Xiaohan Shi
Jiajun He
Xingfeng Li
T. Toda
26
3
0
13 Nov 2023
Multiscale Contextual Learning for Speech Emotion Recognition in
  Emergency Call Center Conversations
Multiscale Contextual Learning for Speech Emotion Recognition in Emergency Call Center Conversations
Théo Deschamps-Berger
L. Lamel
Laurence Devillers
19
2
0
28 Aug 2023
1