Abstract

Text-to-Speech (TTS) systems play a pivotal role in enabling human-computer interaction by converting written text into intelligible and natural-sounding speech. The Bangla language with its complex orthography and rich phonetic structure presents unique challenges for TTS development. This research focuses on the design and implementation of a Bangla TTS system built on grapheme-to-phoneme (G2P) rules and an extensive phonetic dictionary to ensure accurate pronunciation and natural prosody. The study explores the formulation of G2P rules dictionary construction phonetic mapping prosody modeling and waveform generation highlighting the integration of linguistic computational and signal processing components. The research examines the performance of the Bangla TTS system in terms of intelligibility naturalness prosody accuracy and computational efficiency. Furthermore it evaluates the impact of G2P rules dictionary coverage and pronunciation variants on overall system quality. By analyz