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A Study on Speaker Recognition System and Pattern classification Techniques
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Abstract: Speaker Recognition is the process of identifying a person through his/her voice signals or speech waves. Pattern classification plays a vital role in speaker recognition. Pattern classification is the process of grouping the patterns, which are sharing the same set of properties. This paper deals with speaker recognition system and over view of Pattern classification techniques DTW, GMM and SVM.
Keywords: Speaker Recognition System, Dynamic Time Warping (DTW), Gaussian Mixture Model (GMM), Support Vector Machine (SVM).
Keywords: Speaker Recognition System, Dynamic Time Warping (DTW), Gaussian Mixture Model (GMM), Support Vector Machine (SVM).
How to Cite:
[1] DR E.CHANDRA, K.MANIKANDAN, M.S.KALAIVANI, âA Study on Speaker Recognition System and Pattern classification Techniques,â International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE)
This work is licensed under a Creative Commons Attribution 4.0 International License.