Speech is the essential method for communication between individuals. Speech is regularly dependent upon natural speech's
concatenation i.e. units which are obtained from a sentence or word. The synthesis of concatenate speech has turned out to be
exceptionally well known in these years because of its enhanced affectability to unit context over easier predecessors. Speech synthesis
has been worked on for quite a few years from now. Latest progress in speech synthesis has delivered synthesizers having very high
comprehensibility. In the process of speech synthesis, the accurateness of information extraction is pivotal in creating synthesized speech
having very high quality. Speech synthesis incorporates the algorithmic change of text data which is input to waveforms of speech.
An initial step towards this end, a study of the artificial
technologies in which there is study of tasks of natural
language processing has done. These tasks include speech
recognition and speech synthesis. The speech recognition
is used for changing speech into text. It uses automated
speech recognition system. Then speech synthesis can
convert the text to speech. It can convert with the help of
some different tools such as Dialog system. The survey of
various techniques of text to speech synthesis system has
been presented in this paper. It is found that many systems
for Punjabi language to speech conversion are yet to be
formulated. So, it is proposed to develop a system which is
able to guide laymen about Punjabi language. It will
pronounce the Punjabi letter (dictation set of thing). It has
been found that this kind of system is not developed it.
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