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Analysis of Speech Algorithms in Disease affected Voice Patterns

D. Karunanithi1 , P. Rodrigues2

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-2 , Page no. 16-20, Feb-2014

Online published on Feb 28, 2014

Copyright © D. Karunanithi, P. Rodrigues . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: D. Karunanithi, P. Rodrigues, “Analysis of Speech Algorithms in Disease affected Voice Patterns,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.2, pp.16-20, 2014.

MLA Style Citation: D. Karunanithi, P. Rodrigues "Analysis of Speech Algorithms in Disease affected Voice Patterns." International Journal of Computer Sciences and Engineering 2.2 (2014): 16-20.

APA Style Citation: D. Karunanithi, P. Rodrigues, (2014). Analysis of Speech Algorithms in Disease affected Voice Patterns. International Journal of Computer Sciences and Engineering, 2(2), 16-20.

BibTex Style Citation:
@article{Karunanithi_2014,
author = {D. Karunanithi, P. Rodrigues},
title = {Analysis of Speech Algorithms in Disease affected Voice Patterns},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2014},
volume = {2},
Issue = {2},
month = {2},
year = {2014},
issn = {2347-2693},
pages = {16-20},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=45},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=45
TI - Analysis of Speech Algorithms in Disease affected Voice Patterns
T2 - International Journal of Computer Sciences and Engineering
AU - D. Karunanithi, P. Rodrigues
PY - 2014
DA - 2014/02/28
PB - IJCSE, Indore, INDIA
SP - 16-20
IS - 2
VL - 2
SN - 2347-2693
ER -

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Abstract

The speech is the most important and effective method in the Human Interaction. Speech signal is the basis of Human Computer Interaction and Human Communications Technology. Many Human Diseases like Parkinson Disease, Cerebellar Demyelization, Stroke and many Neurological Diseases are analyzed using the their speech patterns for diagnosing the disease. To analyze these pathological voice patterns algorithms are used. In this paper, various algorithms used to analyze the voice patterns are analyzed and also comparative study of Parkinson and Larynx Diseases are analyzed using the voice patterns.

Key-Words / Index Term

Speech Patterns; Speech Algorithms; Speech Analysis; Speech Diagnosis

References

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