8 papers
StarDrinks: An English and Korean Test Set for SLU Evaluation in a Drink Ordering Scenario
Marcely Zanon Boito, Caroline Brun, Inyoung Kim +5
LLMs and speech assistants are increasingly used for task-oriented interactions, yet their evaluation often relies on controlled scenarios that fail to capture the variability and…
NAVER LABS Europe Submission to the Instruction-following 2026 Short Track
Marcely Zanon Boito, Hemant Yadav, Jean-Luc Meunier +1
In this paper, we describe NAVER LABS Europe's submission to the instruction-following speech processing short track at IWSLT 2026. We participate again in the constrained setting,…
SpeechMapper: Speech-to-text Embedding Projector for LLMs
Biswesh Mohapatra, Marcely Zanon Boito, Ioan Calapodescu
Current speech LLMs bridge speech foundation models to LLMs using projection layers, training all of these components on speech instruction data. This strategy is computationally i…
NAVER LABS Europe Submission to the Instruction-following Track
Beomseok Lee, Marcely Zanon Boito, Laurent Besacier +1
In this paper we describe NAVER LABS Europe submission to the instruction-following speech processing short track at IWSLT 2025. We participate in the constrained settings, develop…
Speech Foundation Models and Crowdsourcing for Efficient, High-Quality Data Collection
Beomseok Lee, Marco Gaido, Ioan Calapodescu +2
While crowdsourcing is an established solution for facilitating and scaling the collection of speech data, the involvement of non-experts necessitates protocols to ensure final dat…
mHuBERT-147: A Compact Multilingual HuBERT Model
Marcely Zanon Boito, Vivek Iyer, Nikolaos Lagos +2
We present mHuBERT-147, the first general-purpose massively multilingual HuBERT speech representation model trained on 90K hours of clean, open-license data. To scale up the multi-…