Design and Implementation of Text to speech synthesizer using Syllabification synthesis algorithm and comparing with Articulator Synthesis algorithm

Abstract

Aim: The aim of the study is to design and implement a Text to speech Synthesizer based on syllabification synthesis algorithm and articulator synthesis algorithm to reduce computational time and to increase effectiveness in speech intelligibility. Materials and methods: The Text Datasets was used to implement the algorithm and sample for 10 different Text databases having different numbers of words.The input text Datasets will be ranging from 50-500 words. Results: The Statistical analysis was calculated and done by performing Independent Variable test and T-test and the obtained significance is 0.039 (p<0.05). The mean computational time of proposed algorithm 90% and the existing algorithm which is 78%. Conclusion: The algorithm based on the Syllabification algorithm shows higher computational time and lesser effectiveness in speech intelligence than the innovative algorithm based on Articulator speech synthesis.