Speech Technologies in the ILENIA Project: Generating Resources to Develop Voice Applications in the Official Languages of Spain
Baybars Külebi, Inma Hernáez, Elisa Fernández Rei, Andrés Montoyo, Sarah Solito, Carme Armentano-Oller, Javier Hernando, Eva Navas, Carmen Magariños, Adina Ioana Vladu, Ibon Saratxaga, Jon Sánchez, Víctor García Romillo, Asier Herranz, Christoforos Souganidis, Noelia García, Antonio Moscoso Sánchez, Xosé Luís Regueira Fernández, Francisc Dubert, Yoan Gutiérrez · 2024
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.