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Statistics
Voice Recognition Using MATLAB
(m33347)
Author:
David Roberts
Keywords:
Discrete Fourier Transform
,
Fast Fourier Transform
,
MATLAB
,
Voice Recognition
Summary:
The following module describes the process behind implementing a voice recognition algorithm in MATLAB. The algorithm utilizes the Discrete Fourier Transform in order to compare the frequency spectra of two voices. Chebyshev’s Inequality is then used to determine (with reasonable certainty) whether two voices came from the same person ... Gloria Melara.
[Expand Summary]
The following module describes the process behind implementing a voice recognition algorithm in MATLAB. The algorithm utilizes the Discrete Fourier Transform in order to compare the frequency spectra of two voices. Chebyshev’s Inequality is then used to determine (with reasonable certainty) whether two voices came from the same person. All material in this module is the result of a course project for a Partial Differential Equations course (Math 480) held at California State University Northridge during the Fall 2009 semester. The project was carried out under the guidance of professors – Carol Shubin and Gloria Melara.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
98.10%
Revised:
2010-06-03
Revisions:
4
Popularity is measured as percentile rank of page views/day over all time
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