4 papers
Speaker Group Encoding in Self-supervised Speech Recognition Models
Felix Herron, Solange Rossato Alexandre Allauzen, Benoit Favre +1
We investigate what self-supervised speech recognition models (S3Ms) learn about speaker groups (SGs). We examine several states of S3Ms: pretrained, finetuned on speaker identific…
LLM, Reporting In! Medical Information Extraction Across Prompting, Fine-tuning and Post-correction
Ikram Belmadani, Parisa Nazari Hashemi, Thomas Sebbag +5
This work presents our participation in the EvalLLM 2025 challenge on biomedical Named Entity Recognition (NER) and health event extraction in French (few-shot setting). For NER, w…
Increasing faithfulness in human-human dialog summarization with Spoken Language Understanding tasks
Eunice Akani, Benoit Favre, Frederic Bechet +1
Dialogue summarization aims to provide a concise and coherent summary of conversations between multiple speakers. While recent advancements in language models have enhanced this pr…
Are cascade dialogue state tracking models speaking out of turn in spoken dialogues?
Lucas Druart, Léo Jacqmin, Benoît Favre +2
In Task-Oriented Dialogue (TOD) systems, correctly updating the system's understanding of the user's needs is key to a smooth interaction. Traditionally TOD systems are composed of…