Text-To-Speech Synthesizer for English, Hindi and Marathi Spoken Signals

Abstract

The paper proposes a model of Text-To-Speech (TTS) engine for Marathi, Hindi and English languages. The characters and their representation are analyzed and synthesized with the help of TTS-engine. The engine would be spoken utterances produced from text. A concatenative approach based on linguistic rules has been applied. In order to test the artificial voice generation, an analysis of prosody and MOS testes were performed. Cepstral pitch detection algorithm has been used for extraction of fundamental frequency. Mean and standard deviation were computed on pitch reading of each spoken signals. MOS is a subjective test depends on listeners who are aware of any three of the languages. All scores are provided on the basis of two dissimilar parameters of MOS: 1. The result was achieved between fair and good for listening quality. 2. Naturalness score in between pleasant and slightly-pleasant. Ultimately, the satisfactory results were found for three different languages.