Abstract:
This research attempts to investigate creating Text-To-Speech (TTS) System for Low Resource Sinhala Language using FastSpeech2. This project uses already available TTS datasets for the Sinhala Language. This research updates the existing open-source pronunciation dictionary by adding approximately 10000 new words with their pronunciations. New Montreal Forced Aligner (MFA) models, which were not available for the Sinhala Language, were created to do the forced alignments for this research. The evaluations were done with 20 native speakers to evaluate and calculate the MOS values. The experiments with FastSpeech2 have positive results with a MOS value of 3.35 ± 0.08
