Phoneme concatenation method considering half vowel sound for the Myanmar speech synthesis system

Abstract

1.Introduction Text to speech (TTS) conversion is a system that can convert the written text into their corresponding speech. It is a very useful application for the visual and speech impaired person. The optimal character recognition (OCR) -based TTS system to help such visually challenged people by OCR has been proposed [1]. The resulting text from the OCR is converted into speech. They used the blind deconvolution method and pre-processing operation to remove the effect of noise and blur so that they can achieve the efficient result of the framework for visually challenged. Nowadays, high quality TTS software can be commercially available for different languages. The most used speech synthesis approaches are articulatory synthesis, formant synthesis, concatenative synthesis and hidden Markov model (HMM)-based model approach. Each approach has their reasonable advantages and disadvantages based on the usage of languages.