Speech Technologies in the ILENIA Project: Generating Resources to Develop Voice Applications in the Official Languages of Spain
This paper examines the methodologies, goals, and technological advances of the Speech Technologies team within the ILENIA (Impulso de las Lenguas en Inteligencia Artificial) project, part of Spain's Strategic Project for Economic Recovery and Transformation (PERTE) under the New Economy of Language (NEL). NEL seeks to leverage Spanish and other co-official languages (Catalan/Valencian, Basque, and Galician) for economic growth and international competitiveness. The Speech Technologies team leads efforts in speech and annotated corpora, speech recognition and synthesis, handling the entire pipeline from data collection to model deployment, as well as providing prototypes based on the models generated within the project.
Authors
- Andrés Montoyo (ORCID: https://orcid.org/0000-0002-3076-0890)
- Xosé Luís Regueira Fernández (ORCID: https://orcid.org/0000-0001-7264-3740)
- Jon Sánchez (ORCID: https://orcid.org/0000-0002-7236-4474)
- Ibon Saratxaga (ORCID: https://orcid.org/0000-0001-7282-2765)
- Javier Hernando (ORCID: https://orcid.org/0000-0002-1730-8154)
- Víctor García Romillo
- Noelia Malla García (ORCID: https://orcid.org/0000-0003-0833-5211)
- Christoforos Souganidis (ORCID: https://orcid.org/0000-0002-5013-1442)
- Elisa Fernández Rei (ORCID: https://orcid.org/0000-0002-4109-0087)
- Inma Hernáez (ORCID: https://orcid.org/0000-0003-4447-7575)
- Carme Armentano-Oller
- Carmen Magariños (ORCID: https://orcid.org/0000-0003-3525-1304)
- Antonio Sánchez (ORCID: https://orcid.org/0000-0003-4904-2685)
- Adina Ioana Vladu (ORCID: https://orcid.org/0000-0002-3910-7820)
- Baybars Külebi
- Eva Navas (ORCID: https://orcid.org/0000-0003-3804-4984)
- Yoan Gutiérrez (ORCID: https://orcid.org/0000-0002-4052-7427)
- Asier Herranz
- Francisc Dubert
- Sarah Solito
Publication Details
- Published
- 2024-11-05
- DOI
- https://doi.org/10.21437/iberspeech.2024-60
- Primary Topic
- Speech and dialogue systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00