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"VOICE ANALYSIS BASED DISEASES IDENTIFICATION USING SPEECH PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 1, page no.47-49, January-2016, Available :http://www.jetir.org/papers/JETIR1601010.pdf

• Ms. Deepali S. Shrivastava
• Prof. Saurabh Shah
• Prof. Ketan Bhavsar

The proper analysis of the human voice has created a vital field of research for its various applications in medical as well as engineering sectors. The analysis of a voice signal basically deals with the extraction of some parameters from voice signal for processing of voice in desirable application by using suitable and various types of algorithms. Out of the many algorithms MFCC is a type of algorithm that gives the best and accurate results. This paper is used to identify one or more diseases in human beings like Parkinson’s, asthma, etc. By comparing the voice signals of an infected person and a normal person at a lower bit rate.

Parkinson’s diseases , MFCC , spectral characteristics .

"VOICE ANALYSIS BASED DISEASES IDENTIFICATION USING SPEECH PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 1, page no. pp47-49, January-2016, Available at : http://www.jetir.org/papers/JETIR1601010.pdf