Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization
Voice identification is a task of identifying a person based on the content of information in one’s voice signal which distinguishes his/hers from voices of other people. This paper presents an educational project on a simple voice identification system, which uses two parameters of voice features:...
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iium-141652012-05-23T01:27:08Z http://irep.iium.edu.my/14165/ Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization Akmeliawati, Rini Widhiputranto, H. K. TK Electrical engineering. Electronics Nuclear engineering Voice identification is a task of identifying a person based on the content of information in one’s voice signal which distinguishes his/hers from voices of other people. This paper presents an educational project on a simple voice identification system, which uses two parameters of voice features: the fundamental frequency or pitch and the vocal tract information represented by Mel-Frequency Cepstrum Coefficients (MFCC). The estimation fundamental frequency is performed with Harmonic Product Spectrum (HPS) algorithm, whilst MFCC is calculated using Discrete Cosine Transform, then, is modeled with Vector Quantization to compress the size of data to be processed and to assist identification. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/14165/1/paper794.pdf Akmeliawati, Rini and Widhiputranto, H. K. (2008) Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization. In: International Conference on Mechatronics (ICOM'08), 18-20 December 2008, Kuala Lumpur, Malaysia. |
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International Islamic University Malaysia |
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Online Access |
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English |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Akmeliawati, Rini Widhiputranto, H. K. Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization |
description |
Voice identification is a task of identifying a person based on the content of information in one’s voice signal which distinguishes his/hers from voices of other people. This paper presents an educational project on a simple voice identification system, which uses two parameters of voice features: the fundamental frequency or pitch and the vocal tract information represented by Mel-Frequency Cepstrum Coefficients (MFCC). The estimation fundamental frequency is performed with Harmonic Product Spectrum (HPS) algorithm, whilst MFCC is calculated using Discrete Cosine Transform, then, is modeled with Vector Quantization to compress the size of data to be processed and to assist identification. |
format |
Conference or Workshop Item |
author |
Akmeliawati, Rini Widhiputranto, H. K. |
author_facet |
Akmeliawati, Rini Widhiputranto, H. K. |
author_sort |
Akmeliawati, Rini |
title |
Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization |
title_short |
Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization |
title_full |
Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization |
title_fullStr |
Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization |
title_full_unstemmed |
Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization |
title_sort |
educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization |
publishDate |
2008 |
url |
http://irep.iium.edu.my/14165/ http://irep.iium.edu.my/14165/1/paper794.pdf |
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2023-09-18T20:23:20Z |
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2023-09-18T20:23:20Z |
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1777408253073817600 |