Implementation of Text To Speech for Marathi Language Using Transcriptions Concept

ABSTRACT This research paper presents the approach towards converting text to speech using new methodology. The text to speech conversion system enables user to enter text in Marathi and as output it gets sound. The paper presents the steps followed for converting text to speech for Marathi language and the algorithm used for it. The focus of this paper is based on the tokenisation process and the orthographic representation of the text that shows the mapping of letter to sound using the description of language's phonetics. Here the main focus is on the text to IPA transcription concept. It is in fact, a system that translates text to IPA transcription which is the primary stage for text to speech conversion. The whole procedure for converting text to speech involves a great deal of time as it's not an easy task and requires efforts

Duration for Classification and Regression Treefor Marathi Text- to-Speech Synthesis System

Abstract This research paper reports preliminary results of data-driven modeling of segmentalphoneme duration for Marathi. Classification and Regression Tree based data driven duration modeling for segmental duration prediction is presented. A number of features are considered and their usefulness and relative contribution for segmental duration prediction is assessed. Objective evaluation of the duration model, by root mean squared prediction error and correlation between actual and predicted durations, is performed