Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/15313
Title: Comparative Study of Several Novel Acoustic Features for Speaker Recognition
Contributor(s): Pervouchine, Vladimir (author); Leedham, Graham  (author); Zhong, Haishan (author); Cho, David (author); Li, Haizhou (author)
Publication Date: 2008
Handle Link: https://hdl.handle.net/1959.11/15313
Abstract: Finding good features that represent speaker identity is an important problem in speaker recognition area. Recently a number of new and novel acoustic features have been proposed for speaker recognition. The researchers use different data sets and sometimes different classifiers to evaluate the features and compare them to the baselines such as MFCC or LPCC. However, due to different experimental conditions direct comparison of those features to each other is difficult or impossible. This paper presents a study of five new acoustic features recently proposed. The feature extraction has been performed on the same data (NIST~2001~SRE), and the same UBM-GMM classifier has been used. The results are presented as DET curves with equal error ratios indicated. Also, an SVM-based combination of GMM scores produced on different features has been made in hope that classifier fusion can result in higher speaker recognition accuracy. The results for different features as well as for their combinations are directly comparable to each other and to those obtained with the baseline MFCC features.
Publication Type: Conference Publication
Conference Details: BIOSIGNALS 2008: International Conference on Bio-inspired Systems and Signal Processing, Funchal, Portugal, 28th - 31st January, 2008
Source of Publication: Proceedings of the First International Conference on Biomedical Electronics and Devices (BIOSIGNALS 2008), v.1, p. 220-223
Publisher: Institute for Systems and Technologies of Information, Control and Communication (INSTICC)
Place of Publication: United States of America
Fields of Research (FoR) 2008: 080106 Image Processing
080104 Computer Vision
080109 Pattern Recognition and Data Mining
Socio-Economic Objective (SEO) 2008: 810199 Defence not elsewhere classified
890299 Computer Software and Services not elsewhere classified
810107 National Security
HERDC Category Description: E2 Non-Refereed Scholarly Conference Publication
Publisher/associated links: http://www.biosignals.biostec.org/Abstracts/2008/BIOSIGNALS_2008_Abstracts.htm
Appears in Collections:Conference Publication

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