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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Published Paper Details:
Paper Title
PATTERN RECOGNITION OF SPEECH SIGNALS USING CURVELET TRANSFORM AND ARTIFICIAL INTELLIGENCE
Authors
Dr. Shaik Subhani
Keywords
Pattern Recognition, Speech recognition, Curvelet transforms, Feature extraction, Artificial intelligence.
Abstract
Pattern recognition of speech signals is ability to translate a spoken word to text format. This paper presents an authority speech recognition system based on curvelet transform and artificial neural network techniques to enhance the recognition rate. This research comprised in two distinct phases, a feature extractor and recognizer is presented. In feature extraction phase, curvelet transform extract the features from the input speech signal and detail components of these signals which assist in achieving higher recognition rate. For feature matching, artificial neural networks is used as classifiers. The performance evaluation has been described in terms of accurate recognition rate, interfering sounds, hit rates, false alarm and miss rates. The rate of accurate classification was about 95.3 % for the sample speech signals.
IJCRT's Publication Details
Unique Identification Number - IJCRT1892450
Paper ID - 188244
Page Number(s) - 718-723
Pubished in - Volume 6 | Issue 2 | APRIL 2018
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Dr. Shaik Subhani, "PATTERN RECOGNITION OF SPEECH SIGNALS USING CURVELET TRANSFORM AND ARTIFICIAL INTELLIGENCE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.718-723, APRIL 2018, Available at :http://www.ijcrt.org/papers/IJCRT1892450.pdf
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Volume 14 | Issue 9
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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