Fabien Ringeval
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View article: Attention hijacked: How social media notifications disrupt cognitive processing
Attention hijacked: How social media notifications disrupt cognitive processing Open
Digital notifications are ubiquitous in modern life, yet their impact on cognitive performance remains poorly understood. Here, we introduce an ecologically valid paradigm to examine how social media notifications disrupt ongoing task perf…
View article: Attention hijacked: How social media notifications disrupt cognitive processing
Attention hijacked: How social media notifications disrupt cognitive processing Open
Digital notifications are ubiquitous in modern life, yet their impact on cognitive performance remains poorly understood. Here, we introduce an ecologically valid paradigm to examine how social media notifications disrupt ongoing task perf…
View article: Attention hijacked: How social media notifications disrupt cognitive processing
Attention hijacked: How social media notifications disrupt cognitive processing Open
Digital notifications are ubiquitous in modern life, yet their impact on cognitive performance remains poorly understood. Here, we introduce an ecologically valid paradigm to examine how social media notifications disrupt ongoing task perf…
View article: The Noor Project: fair transformer transfer learning for autism spectrum disorder recognition from speech
The Noor Project: fair transformer transfer learning for autism spectrum disorder recognition from speech Open
Early detection is crucial for managing incurable disorders, particularly autism spectrum disorder (ASD). Unfortunately, a considerable number of individuals with ASD receive a late diagnosis or remain undiagnosed. Speech holds a critical …
View article: Attention hijacked: How social media notifications disrupt cognitive processing
Attention hijacked: How social media notifications disrupt cognitive processing Open
Digital notifications are ubiquitous in modern life, yet their impact on cognitive performance remains poorly understood. Here, we introduce an ecologically valid paradigm to examine how social media notifications disrupt ongoing task perf…
View article: THERADIA WoZ: An Ecological Corpus for Appraisal-Based Affect Research in Healthcare
THERADIA WoZ: An Ecological Corpus for Appraisal-Based Affect Research in Healthcare Open
International audience
View article: The Value of a Virtual Assistant to Improve Engagement in Computerized Cognitive Training at Home: Exploratory Study
The Value of a Virtual Assistant to Improve Engagement in Computerized Cognitive Training at Home: Exploratory Study Open
Background Impaired cognitive function is observed in many pathologies, including neurodegenerative diseases such as Alzheimer disease. At present, the pharmaceutical treatments available to counter cognitive decline have only modest effec…
View article: THERADIA WoZ: An Ecological Corpus for Appraisal-based Affect Research in Healthcare
THERADIA WoZ: An Ecological Corpus for Appraisal-based Affect Research in Healthcare Open
We present THERADIA WoZ, an ecological corpus designed for audiovisual research on affect in healthcare. Two groups of senior individuals, consisting of 52 healthy participants and 9 individuals with Mild Cognitive Impairment (MCI), perfor…
View article: Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains
Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains Open
Pretrained Language Models (PLMs) are the de facto backbone of most state-of-the-art NLP systems. In this paper, we introduce a family of domain-specific pretrained PLMs for French, focusing on three important domains: transcribed speech, …
View article: REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge
REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge Open
In dyadic interactions, humans communicate their intentions and state of mind using verbal and non-verbal cues, where multiple different facial reactions might be appropriate in response to a specific speaker behaviour. Then, how to develo…
View article: REACT2023: The First Multiple Appropriate Facial Reaction Generation Challenge
REACT2023: The First Multiple Appropriate Facial Reaction Generation Challenge Open
The Multiple Appropriate Facial Reaction Generation Challenge (REACT2023) is the first competition event focused on evaluating multimedia processing and machine learning techniques for generating human-appropriate facial reactions in vario…
View article: Can GPT models Follow Human Summarization Guidelines? A Study for Targeted Communication Goals
Can GPT models Follow Human Summarization Guidelines? A Study for Targeted Communication Goals Open
This study investigates the ability of GPT models (ChatGPT, GPT-4 and GPT-4o) to generate dialogue summaries that adhere to human guidelines. Our evaluation involved experimenting with various prompts to guide the models in complying with …
View article: LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech Open
Self-supervised learning (SSL) is at the origin of unprecedented improvements in many different domains including computer vision and natural language processing. Speech processing drastically benefitted from SSL as most of the current dom…
View article: PSentScore: Evaluating Sentiment Polarity in Dialogue Summarization
PSentScore: Evaluating Sentiment Polarity in Dialogue Summarization Open
Automatic dialogue summarization is a well-established task with the goal of distilling the most crucial information from human conversations into concise textual summaries. However, most existing research has predominantly focused on summ…
View article: REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challenge
REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challenge Open
The Multi-modal Multiple Appropriate Facial Reaction Generation Challenge (REACT2023) is the first competition event focused on evaluating multimedia processing and machine learning techniques for generating human-appropriate facial reacti…
View article: The Value of a Virtual Assistant to Improve Engagement in Computerized Cognitive Training at Home: Exploratory Study (Preprint)
The Value of a Virtual Assistant to Improve Engagement in Computerized Cognitive Training at Home: Exploratory Study (Preprint) Open
BACKGROUND Impaired cognitive function is observed in many pathologies, including neurodegenerative diseases such as Alzheimer disease. At present, the pharmaceutical treatments available to counter cognitive decline have only modest effe…
View article: A Survey of Evaluation Methods of Generated Medical Textual Reports
A Survey of Evaluation Methods of Generated Medical Textual Reports Open
International audience
View article: Cross-domain Voice Activity Detection with Self-Supervised Representations
Cross-domain Voice Activity Detection with Self-Supervised Representations Open
Voice Activity Detection (VAD) aims at detecting speech segments on an audio signal, which is a necessary first step for many today's speech based applications. Current state-of-the-art methods focus on training a neural network exploiting…
View article: Dynamic Time-Alignment of Dimensional Annotations of Emotion using Recurrent Neural Networks
Dynamic Time-Alignment of Dimensional Annotations of Emotion using Recurrent Neural Networks Open
Most automatic emotion recognition systems exploit time-continuous annotations of emotion to provide fine-grained descriptions of spontaneous expressions as observed in real-life interactions. As emotion is rather subjective, its annotatio…
View article: Effectiveness of French Language Models on Abstractive Dialogue Summarization Task
Effectiveness of French Language Models on Abstractive Dialogue Summarization Task Open
Pre-trained language models have established the state-of-the-art on various natural language processing tasks, including dialogue summarization, which allows the reader to quickly access key information from long conversations in meetings…
View article: Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark
Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark Open
Self-Supervised Learning (SSL) has yielded remarkable improvements in many different domains including computer vision, natural language processing and speech processing by leveraging large amounts of unlabeled data. In the specific contex…
View article: On the Evolution of Speech Representations for Affective Computing: A brief history and critical overview
On the Evolution of Speech Representations for Affective Computing: A brief history and critical overview Open
International audience
View article: Social Signals and Multimedia
Social Signals and Multimedia Open
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View article: LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech Open
Self-Supervised Learning (SSL) using huge unlabeled data has been successfully explored for image and natural language processing. Recent works also investigated SSL from speech. They were notably successful to improve performance on downs…
View article: LeBenchmark: A Reproducible Framework for Assessing Self-Supervised\n Representation Learning from Speech
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised\n Representation Learning from Speech Open
Self-Supervised Learning (SSL) using huge unlabeled data has been\nsuccessfully explored for image and natural language processing. Recent works\nalso investigated SSL from speech. They were notably successful to improve\nperformance on do…
View article: AVEC'19
AVEC'19 Open
The ninth Audio-Visual Emotion Challenge and workshop AVEC 2019 was held in conjunction with ACM Multimedia'19. This year, the AVEC series addressed major novelties with three distinct tasks: State-of-Mind Sub-challenge (SoMS), Detecting D…
View article: AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition Open
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mind, Detecting Depression with AI, and Cross-cultural Affect Recognition" is the ninth competition event aimed at the comparison of multimedia processing and machine le…
View article: SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild Open
Natural human-computer interaction and audio-visual human behaviour sensing systems, which would achieve robust performance in-the-wild are more needed than ever as digital devices are increasingly becoming an indispensable part of our lif…