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Vol. 4  No. 11 (2018) · Articles

A REVIEW ON SPEECH AND SPEAKER RECOGNITION

Santosh Kumar Pateriya
M.Tech Scholar, Dept of Electronics & Communication Engineering, AITR, Bhopal , IN

Prof. Rupesh Kumar
M.Tech Scholar, Dept of Electronics & Communication Engineering, AITR, Bhopal , IN

📅 Published: November 2018

Keywords: Speech, Speaker Recognition, Automatic Speech Recognitions framework, neura

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Abstract

Speech is the best essential, normal and effective type of communication methods for individuals to interact with each other. People are easy with speech. Beside these lines, people might likewise want to interact with personal computers (PCs) through speech, instead of utilizing primitive interfaces like keyboards and directing gadgets. This can be done by building up an Automatic Speech Recognitions (ASRs) framework which enables a PC to distinguish the text that a man speaks into a receiver or phone and change over it into composed content. Although any assignment that includes interfacing with a PC can possibly utilize ASR. The ASR framework can support numerous important applications like dictation, command and control, installed applications, phone registry help, talked database questioning, restorative applications, office correspondence devices, and programmed voice interpretation into outside dialects and so onward. In the present research paper, work done by few researchers in this field has been discussed

How to Cite

Santosh Kumar Pateriya, Prof. Rupesh Kumar, “A REVIEW ON SPEECH AND SPEAKER RECOGNITION,” International Journal of Technical Innovation in Modern Engineering & Science, vol. 4, no. 11, pp. 461-464, November 2018.

References

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