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Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-28
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper focuses on a robust feature extraction algorithm for automatic classification of pathological and normal voices in noisy environments.
The proposed algorithm is based on human auditory processing and the nonlinear Teager-Kaiser energy operator.
The robust features which labeled Teager Energy Cepstrum Coefficients (TECCs) are computed in three steps.
Firstly, each speech signal frame is passed through a Gammatone or Mel scale triangular filter bank.
Then, the absolute value of the Teager energy operator of the short-time spectrum is calculated.
Finally, the discrete cosine transform of the log-filtered Teager Energy spectrum is applied.
This feature is proposed to identify the pathological voices using a developed neural system of multilayer perceptron (MLP).
We evaluate the developed method using mixed voice database composed of recorded voice samples from normophonic or dysphonic speakers.
In order to show the robustness of the proposed feature in detection of pathological voices at different White Gaussian noise levels, we compare its performance with results for clean environments.
The experimental results show that TECCs computed from Gammatone filter bank are more robust in noisy environments than other extracted features, while their performance is practically similar to clean environments.
American Psychological Association (APA)
Salhi, Lotfi& Cherif, Adnane. 2013. Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1012295
Modern Language Association (MLA)
Salhi, Lotfi& Cherif, Adnane. Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments. The Scientific World Journal No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1012295
American Medical Association (AMA)
Salhi, Lotfi& Cherif, Adnane. Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1012295
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1012295