META-NET is a Network of Excellence dedicated to fostering the technological foundations of a multilingual European information society. Language Technologies enable communication and cooperation across languages, secure users of any language equal access to information and knowledge, build upon and advance functionalities of networked information technology. A concerted, substantial, continent-wide effort in language technology research and engineering is needed for realising applications that enable automatic translation, multilingual information and knowledge management and content production across all European languages. This effort also enhanced the development of intuitive language-based interfaces to technology ranging from household electronics, machinery and vehicles to computers and robots.
ποΈ Yesterday at #LREC2026, Palma de Mallorca!
@lina_conti presented "Voice, Bias, and Coreference: An Interpretability Study of Gender in Speech Translation" at the poster session.
πPaper:
π»Code: https://github.com/lina-conti/voice-bias-coreference
#SpeechTranslation #NLProc
How does the granularity of speech-text pairs impact SpeechLLM performance, and what is the optimal way to interleave tokens? Furthermore, what are the best practices for generating synthetic data to boost training?π§
ποΈ Our paper on connecting Speech Foundation Models with LLMs is featured in the SpeechLMM Training Journal on Weights & Biases.
Read it π https://bit.ly/4svG7ll
SpeechLMM 2.0 coming this summer. π
#Meetween #SpeechLMM #AI #NLP