Comparative Study of Text-to-Speech Synthesis Techniques for Mobile Linguistic Translation Process

This paper proposed the comparative study of speech synthesis techniques, which cover the five majorly techniques. In order to find out the most appropriate speech synthesis techniques by comparing the three performance factors that includes effectiveness, flexibility and simplicity. In the comparative study, we found that the HMM has the most performance in the speech synthesis. Not only, HMM gave good quality speech and without noise, but also it was easy to understand and not complexity of an implementation. Later, we conducted several experimental evaluations to demonstrate the performance of HMM speech synthesis on the two types of application in the different environments. The results shown that HMM able to produce the good quality of speech in high intelligible and flexibility in adjusting the parameters.