UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1905895


Registration ID:
212194

Page Number

636-639

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Title

An Approach to Extract Feature Using MFCC and DWT Techniques Using Multimedia for Smart Healthcare

Abstract

Discourse is the most characteristic and effective method for correspondence between people. Bunches of endeavors have been made to build up a human PC interface with the goal that one can without much of a stretch cooperate and convey in an untalented manner Digital preparing of discourse sign and voice acknowledgment calculation is significant for quick and precise programmed voice acknowledgment innovation. The voice is a sign of limitless data. An immediate examination and combining the mind boggling voice signal is because of a lot of data contained in the sign. Along these lines the advanced sign procedures, for example, Feature Extraction and Feature Matching are acquainted with speak to the voice signal. The non straight succession arrangement known as Dynamic Time Warping (DTW) presented by Sake Chiba has been utilized as highlights coordinating methods. Right off the bat, all the voice tests of detached words are taken as the information and by utilizing part apparatus denies every one of these examples. At that point coefficients are extricated by utilizing MFCC as these coefficients on the whole speak to the momentary power range of sound. Processing channel banks and MFCCs include to some degree a similar technique, where in the two cases channel banks are registered and with a couple of all the more additional means MFCCs can be gotten. More or less, a sign experiences a pre-accentuation channel; at that point gets cut into (covering) outlines and a window work is connected to each casing.

Key Words

Speech Recognition, Mel frequency Cepstral Coefficients, Cepstrum, Feature matching,Feature extraction, Dynamic time wrapping

Cite This Article

"An Approach to Extract Feature Using MFCC and DWT Techniques Using Multimedia for Smart Healthcare", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.636-639, May-2019, Available :http://www.jetir.org/papers/JETIR1905895.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An Approach to Extract Feature Using MFCC and DWT Techniques Using Multimedia for Smart Healthcare", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp636-639, May-2019, Available at : http://www.jetir.org/papers/JETIR1905895.pdf

Publication Details

Published Paper ID: JETIR1905895
Registration ID: 212194
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 636-639
Country: kolar, karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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