Frame Optimization and Speaker Recognition through Full Distance Matrix Approach

Satya Narayana Penke; Phanindra Sai Srinivas Gudipudi; Bhanu Prakash Panchakarla; Srikanth Hemadri and Rajeev Ijjada

doi:10.17485/ijst/2014/v7i8.9

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Frame Optimization and Speaker Recognition through Full Distance Matrix Approach

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2014/v7i8.9

Year: 2014, Volume: 7, Issue: 8, Pages: 1189–1195

Original Article

Frame Optimization and Speaker Recognition through Full Distance Matrix Approach

Satya Narayana Penke, Phanindra Sai Srinivas Gudipudi^* , Bhanu Prakash Panchakarla, Srikanth Hemadri and Rajeev Ijjada

Dept. of Electronics and Communication Engineering, K L University, Guntur, AP, India; srinivas6692@gmail.com

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Speaker recognition is one of the major fields of research which deals with recognizing the speaker, having applications mainly in authentication purposes. The paper presents a simple full distance matrix feature matching technique besides frame optimization as pre-processing stage in feature extraction module. The results in the last section show that the performance is better than that of the existing algorithms which use complex feature matching techniques.

Keywords: Cepstral Coefficients, Full Distance Matrix, Mel Frequency, Mel Filters, Speaker Recognition