Aholab is the short name of the Signal Processing Laboratory of the University of the Basque Country (UPV/EHU). The laboratory is located in Bilbao. We are a university research team and focus our research in the areas of Text to Speech Conversion, Speech and Speaker Recognition, and Speech Processing in general. Since 2005 we are a recognized research group of the Basque Research Network. The laboratory is part of the Basque Center for Language Technology (HiTZ) and the Department of Communications Engineering of the Faculty of Engineering of Bilbao (ETSI).
Radio Euskadi
In this interview on La Mecánica del Caracol (Radio Euskadi), Inma Hernáez presents the latest open speech models developed at HiTZ Center for Language Technology and Aholab, starting at minute 20.
https://guau.eus/m/radio-euskadi-ciencia-tecnologia-e-historia-20260331-2105
The BrAIn2Lang website is now online.
This project explores how speech and language can be decoded from brain activity, bringing together neuroimaging and speech technologies.
https://aholab.ehu.eus/brain2lang
In the frame of the brAIn2lang project, we are looking for a highly motivated candidate with:
– MSc in AI, Computer Science, Biomedical Engineering, Computational Neuroscience, or related field
– Strong background in machine learning and deep learning
– Solid Python skills (e.g., PyTorch or TensorFlow)
– Interest in speech processing and/or neural signal decoding
– Excellent written and spoken English skills
Experience with speech technologies or EEG/MEG is a plus.
Odyssey: The Speaker and Language Recognition Workshop
📅 June 23–26, 2026, Lisbon, Portugal
We’re pleased to announce the Special Session on Speech and Language Technologies in Healthcare at Odyssey 2026: a dedicated forum bridging speech & language research with real-world health applications.
This session brings together interdisciplinary work on clinically grounded and deployable speech and language technologies — from assistive communication systems and speech-based diagnosis & monitoring, to emerging paradigms like silent speech interfaces and personalized, inclusive solutions that make a tangible impact in healthcare settings.
💡 Whether your work focuses on assistive tech, health monitoring through voice, or AI-driven speech interfaces that support patient communication — this is your chance to contribute to a vibrant community where research meets real needs.
📥 Submission Deadline: March 15, 2026
🔗 Call & details: https://odyssey2026.inesc-id.pt/speech-and-language-technologies-in-healthcare/
Join us in Lisbon to help shape the future of speech technology in health care! 🌍🗣️❤️
The EMG-Voc ReSSint Database has been made publicly available through ELRA.
https://islrn.org/resources/057-914-072-202-4
https://catalog.elra.info/en-us/repository/browse/ELRA-S0498
Aholab researchers presented two contributions at the X Congreso Internacional de Fonética Experimental (CIFE 2026), showcasing recent advances in neural voice personalization and dialect-aware speech synthesis.
Iñigo Hierro Muga
Evaluación sistemática de estrategias de personalización de voces basadas en redes neuronales.
Mariana Flores Ríos
Personalización dialectal de sistemas de síntesis de voz: experimentos para el español mexicano
These presentations reflect Aholab’s ongoing commitment to advancing personalized and linguistically adaptive speech technologies.
Aholab is member of:
