Student: Mariana FLores
Advisors: Dr. Eva Navas Cordón, PhD, Dr. Inma Hernaez Rioja, PhD
Thesis defense date: 04/07/2025
This thesis focuses on developing a personalized Mexican Spanish voice for the AhoMyTTS platform. Leveraging the VITS architecture, multiple training strategies and voice configurations were explored, including the creation and curation of Mexican Spanish corpora and the adaptation of phonetic resources. The project evaluated whether existing modules for Peninsular Spanish could be extended or adapted to Mexican Spanish, and compared the effectiveness of models trained on different language varieties. Results demonstrate that models trained exclusively on Mexican Spanish data best capture the phonetic and prosodic features of the dialect, resulting in improved synthesis quality and naturalness. The methods and resources developed provide a practical foundation for extending TTS personalization to other Spanish varieties.