Classification of stress in speech using linear and nonlinear features

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Classification of stress in speech using linear and nonlinear features

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dc.contributor.author Nwe, Tin Lay
dc.contributor.author Foo, Say Wei
dc.contributor.author De Silva, Liyanage C.
dc.date.accessioned 2009-07-31T06:50:13Z
dc.date.available 2009-07-31T06:50:13Z
dc.date.copyright 2003
dc.date.issued 2009-07-31T06:50:13Z
dc.identifier.citation Dong, L., Foo, S. W., & Lian, Y. (2003). Modeling continuous visual speech using boosted viseme models. Proeedings of the 4th International Conference on Information, Communications and Signal Processing and the 4th IEEE Pacific-Rim Conference on Multimedia. (pp. 1394-1398). Singapore: IEEE.
dc.identifier.uri http://hdl.handle.net/10220/5964
dc.description.abstract In this paper, three systems for classification of stress in speech are proposed. The first system makes use of linear short time Log Frequency Power Coefficients (LFPC), the second employs Teager Energy Operator (TEO) based Nonlinear Frequency Domain LFPC features (NFD-LFPC) and the third uses TEO based Nonlinear Time Domain LFPC features (NTD-LFPC).The systems were tested using SUSAS (Speech Under Simulated and Actual Stress) database to categorize five stress conditions individually. Results show that, the system using LFPC gives the highest accuracy, followed by the system using NFD-LFPC features. While the system using NTD-LFPC features gives the worst performance. For the system using linear LFPC features, the average accuracy of 84% and the best accuracy.
dc.format.extent 4 p.
dc.language.iso en
dc.rights IEEE International Conference on Acoustics, Speech, and Signal Processing © 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site.
dc.subject DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
dc.title Classification of stress in speech using linear and nonlinear features
dc.type Conference Paper
dc.contributor.conference IEEE International Conference on Acoustics, Speech and Signal Processing (2003 : Hong Kong)
dc.contributor.school School of Electrical and Electronic Engineering
dc.identifier.doi http://dx.doi.org/10.1109/ICASSP.2003.1202281
dc.description.version Accepted version

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