Papers by Gaël Richard

2 papers
The POTUS Corpus, a Database of Weekly Addresses for the Study of Stance in Politics and Virtual Agents (2020.lrec-1)

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Challenge: Embodied Conversational Agents (ECAs) are used to generate socially believable agents.
Approach: They propose to use audio-video files of political addresses to generate a corpus of socially believable agents which can be annotated by external observers.
Outcome: The proposed corpus analyzes audio-video files of political addresses to the american people and provides the same speeches given by a virtual agent named Rodrigue.
iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models (2025.emnlp-main)

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Challenge: Contrastive language-audio pretraining models learn by aligning audio and text in a shared embedding space.
Approach: They propose a framework that integrates knowledge graphs with audio-language models to provide robust semantic grounding.
Outcome: iKnow-audio improves disambiguation of acoustically similar sounds and reduces prompt engineering.

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