13 citations · 14 across the 4 of their papers we have counts for
5 papers
Multiscale Contextual Learning for Speech Emotion Recognition in Emergency Call Center Conversations
Théo Deschamps-Berger, Lori Lamel, Laurence Devillers
Emotion recognition in conversations is essential for ensuring advanced human-machine interactions. However, creating robust and accurate emotion recognition systems in real life i…
Exploring Attention Mechanisms for Multimodal Emotion Recognition in an Emergency Call Center Corpus
Théo Deschamps-Berger, Lori Lamel, Laurence Devillers
The emotion detection technology to enhance human decision-making is an important research issue for real-world applications, but real-life emotion datasets are relatively rare and…
End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings
Théo Deschamps-Berger, Lori Lamel, Laurence Devillers
Recognizing a speaker's emotion from their speech can be a key element in emergency call centers. End-to-end deep learning systems for speech emotion recognition now achieve equiva…
A Very Low Resource Language Speech Corpus for Computational Language Documentation Experiments
P. Godard, G. Adda, M. Adda-Decker +11
Most speech and language technologies are trained with massive amounts of speech and text information. However, most of the world languages do not have such resources or stable ort…
A Scalable Video Search Engine Based on Audio Content Indexing and Topic Segmentation
Julien Lawto, Jean-Luc Gauvain, Lori Lamel +5
One important class of online videos is that of news broadcasts. Most news organisations provide near-immediate access to topical news broadcasts over the Internet, through RSS str…