Tamil Speech Synthesizer App for Android: Text Processing Module Enhancement

Objectives: Designing dynamic computer systems that are effective, efficient, simple, and satisfying to use is becoming extremely important in this age of information communication technology. Text Speech or Synthesis one the many methods being investigated by researchers improve Human-Computer Interaction. The goal here text processing component Tamil voice synthesizer including a normalizer loan word identification efficient reliable. Methods: normalization conducted on unconstrained turn non-standard terms into common words reduce confusing utterances during intermediate processing. Loan/Native literature detected enhance system’s pronunciation model. Findings: During normalization, replaced with standard ones ambiguous interim A model built speech system identifying text. syllable classifier presented study, based decision list approach, which can handle various types non-stationary sounds. Novelty: We also disclose ’loan/native classifier’ multiple linear regressions perform well even small three syllables. Such sophisticated processors required today’s dominating Digital, Information-Communication Technology, Interaction age. Keywords: Mobile Communication Technology; HumanComputer Interaction; Affirms; Syllable Classifier; Prerecorded database