58 citations · 94 across the 38 of their papers we have counts for
4 papers · 2 filters
The Eloquence submission for Task 2 of the Interspeech 2026 MLC-SLM challenge
Jordi Luque, Lorenzo Concina, Marco Matassoni +2
This paper details the Eloquence team's approach to Task 2 of the 2nd MLC-SLM challenge at Interspeech 2026, which involves multilingual Multiple-Choice Question Answering (MCQA) a…
SpeechLLM Meets Federated Learning for End-to-End ASR: English and Italian Case Studies
Mohamed Nabih Ali, Daniele Falavigna, Alessio Brutti
Federated learning (FL) enables privacy-preserving training of automatic speech recognition (ASR) systems across distributed data sources, yet its application to large-scale speech…
MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond
Lorenzo Concina, Seraphina Fong, Marco Matassoni +1
Lightweight projectors are an established way to connect pre-trained speech encoders with large language models (LLMs), mapping acoustic features into token-level embeddings for ta…
LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question Answering
Nina Hosseini-Kivanani, Marco Matassoni, Alessio Brutti
Spoken Question Answering (SQA) remains largely focused on high-resource languages and carefully recorded speech, limiting the reach of speech-LLM methods in low-resource settings.…