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Found 11 papers, 0 papers with code
Corpus Design for Studying Linguistic Nudges in Human-Computer Spoken Interactions
In this paper, we present the methodology of corpus design that will be used to study the comparison of influence between linguistic nudges with positive or negative influences and three conversational agents: robot, smart speaker, and human.
A Multi-Task, Multi-Modal Approach for Predicting Categorical and Dimensional Emotions
Speech emotion recognition (SER) has received a great deal of attention in recent years in the context of spontaneous conversations.
End-to-End Continuous Speech Emotion Recognition in Real-life Customer Service Call Center Conversations
Speech Emotion recognition (SER) in call center conversations has emerged as a valuable tool for assessing the quality of interactions between clients and agents.
Multiscale Contextual Learning for Speech Emotion Recognition in Emergency Call Center Conversations
This paper presents a multi-scale conversational context learning approach for speech emotion recognition, which takes advantage of this hypothesis.
Exploring Attention Mechanisms for Multimodal Emotion Recognition in an Emergency Call Center Corpus
Two pre-trained models based on speech and text were fine-tuned for speech emotion recognition.
End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings
Using the same end-to-end deep learning architecture, an Unweighted Accuracy Recall (UA) of 63% is obtained on IEMOCAP and a UA of 45. 6% on CEMO, each with 4 classes.
CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation
Following the latest advances in audio analysis, we use an architecture involving both convolutional layers, for extracting high-level features from raw spectrograms, and recurrent ones for aggregating long-term dependencies.
Ranked #6 on
Speech Emotion Recognition
on IEMOCAP
(UA metric)
Smile and Laughter in Human-Machine Interaction: a study of engagement
This article presents a corpus featuring adults playing games in interaction with machine trying to induce laugh.
Corpus of Children Voices for Mid-level Markers and Affect Bursts Analysis
This article presents a corpus featuring children playing games in interaction with the humanoid robot Nao: children have to express emotions in the course of a storytelling by the robot.
