A Comparative Study of Different Text-to- Speech Synthesis Techniques

Speech synthesis is the artificial production of human speech. Attempts to control the quality of voice of synthesized speech have existed for more than a decade now. Several prototypes and fully operating systems also have been built based on different synthesis technique. This article reviews recent advances in research and development of speech synthesis with focus on one of the key approaches i.e. statistical parametric approach to speech synthesis based on HMM, so as to provide a technological perspective. In this approach, spectrum, excitation, and duration of speech are simultaneously modeled by context dependent HMMs, and speech waveforms are generated from the HMMs themselves. This paper aims to give an overview of what has been done in this field, summarize and compare the characteristics of various speech synthesis techniques used. KeywordsText-to-speech(TTS), concatenative synthesis, database, hidden Markov model(HMM), feature extraction. ——————————  ——————————