Published Paper Details:

The main aim of a Text to Speech (TTS/T2S) synthesis is to convert ordinary text into an acoustic signal that is indistinguishable from human speech. A Text to Speech synthesizer is an application that converts text into spoken word, by analysing and processing the text using natural language processing and then using digital signal processing technology to convert this processed text into synthesized speech representation of the text. Many current text to speech systems are based on the concatenation of acoustic units of recorded speech. Current concatenative speech synthesizers are capable of producing highly intelligible and natural speech, whose quality closely matches to the voice quality of the speaker who recorded the audio segments from which the concatenation units are drawn. Concatenative synthesis has the advantages of being simple to implement and requiring a relatively small database of speech. This is the easiest method to produce synthetic speech. It concatenates prerecorded acoustic elements and forms a continuous speech element. Here, we developed a real time text to speech synthesizer in the form of a simple application that converts inputted text into synthesized speech and reads out to the user which can then be saved as a wave (.wav/) file and/or text (.txt) file. The development of a text to speech synthesizer will be of great help to people with visual impairment and make making through large volume of text easier. Here a Vocally handicapped people can type the text from keypad and Using MATLAB R2015a, we can get voice output of input words, and output voice is heard through speaker. The proposed methodology may be use to provide assistance to people who lack the power of speech or non native speakers, to provide an artificial voice for a speech impairment person and many more application in multimedia ,telecommunication sectors. This thesis presents an algorithm, design and implementation of a text to speech synthesis for synthesizing unlimited vocabulary speech in real time for English language and and all other languages scripted in Roman using STM Discovery board (STM32F407VG) & MATLAB to overcome the barrier of different languages. The recording of voice is done in C using STM Discovery kit and A database of acoustic library is constructed, whereas implementation of text to speech synthesis is done using MATLAB R2015a.