Comparative Analysis of Speaker Recognition System Based on Voice Activity Detection Technique, MFCC and PLP Features

Akanksha Kalia,Vinay Kumar Jadoun,Shikar Sharma,Madhulika Das,Saurabh Kumar Pandey

doi:10.1007/978-981-15-0214-9_82

Comparative Analysis of Speaker Recognition System Based on Voice Activity Detection Technique, MFCC and PLP Features

Akanksha Kalia, Vinay Kumar Jadoun + Show 3 more

https://doi.org/10.1007/978-981-15-0214-9_82

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Publication Date: Dec 17, 2019

Citations: 4

Affiliation: National Institute of Technology Hamirpur, National Institute of Technology Delhi, Indian Institute of Technology Patna

#Voice Activity Detection Technique #Mel-Frequency Cepstral Coefficient + Show 8 more

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Abstract

Due to rapid advancement in technology, speaker recognition systems become more robust and user friendly. The idea is to study and analyse the speech signal based on feature extraction method. This paper compares the performance of Mel-Frequency Cepstral Coefficient (MFCC) and PLP feature extraction with voice activity detection (VAD) technique. Vector Quantisation approach is used for features matching to select the combination which gives highest accuracy.

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