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Frame Optimization and Speaker Recognition through Full Distance Matrix Approach


Affiliations
1 Dept. of Electronics and Communication Engineering, K L University, Guntur, AP, India
 

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
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  • Frame Optimization and Speaker Recognition through Full Distance Matrix Approach

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Authors

Satya Narayana Penke
Dept. of Electronics and Communication Engineering, K L University, Guntur, AP, India
Phanindra Sai Srinivas Gudipudi
Dept. of Electronics and Communication Engineering, K L University, Guntur, AP, India
Bhanu Prakash Panchakarla
Dept. of Electronics and Communication Engineering, K L University, Guntur, AP, India
Srikanth Hemadri
Dept. of Electronics and Communication Engineering, K L University, Guntur, AP, India
Rajeev Ijjada
Dept. of Electronics and Communication Engineering, K L University, Guntur, AP, India

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



DOI: https://doi.org/10.17485/ijst%2F2014%2Fv7i8%2F54365