@inproceedings{aparicio-akcharov-etal-2025-multilingual,
    title = "A Multilingual Speech-Based Driver Assistant for {B}asque and {E}nglish",
    author = "Aparicio Akcharov, Antonio  and
      L{\'o}pez Zorrilla, Asier  and
      V{\'a}squez Correa, Juan Camilo  and
      Montserrat, Oscar  and
      Echevarr{\'i}a, Jos{\'e} Maria  and
      Arrate, Bego{\~n}a  and
      Zapirain, Joxean  and
      deVelasco V{\'a}zquez, Mikel  and
      Moreno-Acevedo, Santiago Andr{\'e}s  and
      Gonz{\'a}lez-Docasal, Ander  and
      Torres, Maria Ines  and
      {\'A}lvarez, Aitor",
    editor = "Torres, Maria Ines  and
      Matsuda, Yuki  and
      Callejas, Zoraida  and
      del Pozo, Arantza  and
      D'Haro, Luis Fernando",
    booktitle = "Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology",
    month = may,
    year = "2025",
    address = "Bilbao, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.iwsds-1.19/",
    pages = "190--195",
    ISBN = "979-8-89176-248-0",
    abstract = "This demo paper presents a prototype of a multilingual, speech-based driver assistant, designed to support both English and Basque languages. The inclusion of Basque{---}a low-resource language with limited domain-specific training data{---}marks a significant contribution, as publicly available AI models, including Large Language Models, often underperform for such languages compared to high-resource languages like English. Despite these challenges, our system demonstrates robust performance, successfully understanding user queries and delivering rapid responses in a demanding environment: a car simulator. Notably, the system achieves comparable performance in both English and Basque, showcasing its effectiveness in addressing linguistic disparities in AI-driven applications. A demo of our prototype will be available in the workshop."
}