Comparative analysis of speaker recognition system based on voice activity detection technique, MFCC and PLP Features

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationIntelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2018
EditorsAkhtar Kalam, Khaleequr Rehman Niazi, Amit Soni, Shahbaz Ahmed Siddiqui, Ankit Mundra
PublisherSpringer Paris
Pages781-787
Number of pages7
ISBN (Print)9789811502132
DOIs
Publication statusPublished - 01-01-2020
Event1st International conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2018 - Jaipur, India
Duration: 22-12-201823-12-2018

Publication series

NameLecture Notes in Electrical Engineering
Volume607
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference1st International conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2018
CountryIndia
CityJaipur
Period22-12-1823-12-18

Fingerprint

Feature extraction
Vector quantization

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Kalia, A., Sharma, S., Pandey, S. K., Jadoun, V. K., & Das, M. (2020). Comparative analysis of speaker recognition system based on voice activity detection technique, MFCC and PLP Features. In A. Kalam, K. R. Niazi, A. Soni, S. A. Siddiqui, & A. Mundra (Eds.), Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2018 (pp. 781-787). (Lecture Notes in Electrical Engineering; Vol. 607). Springer Paris. https://doi.org/10.1007/978-981-15-0214-9_82
Kalia, Akanksha ; Sharma, Shikar ; Pandey, Saurabh Kumar ; Jadoun, Vinay Kumar ; Das, Madhulika. / Comparative analysis of speaker recognition system based on voice activity detection technique, MFCC and PLP Features. Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2018. editor / Akhtar Kalam ; Khaleequr Rehman Niazi ; Amit Soni ; Shahbaz Ahmed Siddiqui ; Ankit Mundra. Springer Paris, 2020. pp. 781-787 (Lecture Notes in Electrical Engineering).
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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.",
author = "Akanksha Kalia and Shikar Sharma and Pandey, {Saurabh Kumar} and Jadoun, {Vinay Kumar} and Madhulika Das",
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editor = "Akhtar Kalam and Niazi, {Khaleequr Rehman} and Amit Soni and Siddiqui, {Shahbaz Ahmed} and Ankit Mundra",
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Kalia, A, Sharma, S, Pandey, SK, Jadoun, VK & Das, M 2020, Comparative analysis of speaker recognition system based on voice activity detection technique, MFCC and PLP Features. in A Kalam, KR Niazi, A Soni, SA Siddiqui & A Mundra (eds), Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2018. Lecture Notes in Electrical Engineering, vol. 607, Springer Paris, pp. 781-787, 1st International conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2018, Jaipur, India, 22-12-18. https://doi.org/10.1007/978-981-15-0214-9_82

Comparative analysis of speaker recognition system based on voice activity detection technique, MFCC and PLP Features. / Kalia, Akanksha; Sharma, Shikar; Pandey, Saurabh Kumar; Jadoun, Vinay Kumar; Das, Madhulika.

Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2018. ed. / Akhtar Kalam; Khaleequr Rehman Niazi; Amit Soni; Shahbaz Ahmed Siddiqui; Ankit Mundra. Springer Paris, 2020. p. 781-787 (Lecture Notes in Electrical Engineering; Vol. 607).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kalia A, Sharma S, Pandey SK, Jadoun VK, Das M. Comparative analysis of speaker recognition system based on voice activity detection technique, MFCC and PLP Features. In Kalam A, Niazi KR, Soni A, Siddiqui SA, Mundra A, editors, Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2018. Springer Paris. 2020. p. 781-787. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-981-15-0214-9_82