Text analysis consists of normalization of the text wherein the numbers and symbols become words and abbreviations are replaced by their whole words or phrases etc.

The process of transforming text into speech contains broadly two phases: 1) Text analysis and 2) generation of speech signal. Phonetic Analysis Grapheme-to-Phoneme Conversion Text Analysis Text Normalization Linguistic analysis 1 shows a block diagram of T-T-S synthesis (X.Huang, 2001). For evaluation of T-T-S systems three parameters need to be evaluated: accuracy, intelligibility and naturalness. There are several processing stages in T-T-S system: the text front end analyses and normalizes the incoming text, creates possible pronunciations for each word in context, and generates prosody (emotions, melody, rhythm, intonation) of the sentence to be spoken. Research in T-T-S is a multi-disciplinary field: from acoustic phonetics (speech production and perception) over morphology (pronunciation) and syntax (parts of speech, grammar), to speech signal processing (synthesis). The goal of speech synthesis is to develop a machine having an intelligible, natural sounding voice for conveying information to a user in a desired accent, language, and voice. Speech synthesis is a process of automatic generation of speech by machines/computers. Key words: Text-to- speech, concatenative synthesis, Database, Hidden markov model, feature extraction It is expected that this study shall be a contribution in the field of speech synthesis and enable identification of research topic and applications which are at the forefront of this exciting and challenging field.

This paper aims to give an overview of what has been done in this field, summarize and compare the characteristics of various synthesis techniques used.

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. statistical parametric approach to speech synthesis based on HMM, so as to provide a technological perspective. This article reviews recent research advances in R&D of speech synthesis with focus on one of the key approaches i.e. Several prototypes and fully operating systems have been built based on different synthesis technique. Agrawal2, Amita Dev3ДЎ Department of Electronics and Communication Engineering, MSIT, New Delhi, IndiaДў Advisor C DAC & Director KIIT, Gurgaon, IndiaДЈ Bhai Parmanand Institute of Business Studies, Delhi, IndiaДЄttempts to control the quality of voice of synthesized speech have existed for more than a decade now.

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