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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tin Lay Nwe Say Wei Foo De Silva, L.C. |
| Copyright Year | 2003 |
| Abstract | Three systems for the classification of stress in speech are proposed. The first system makes use of linear short time log frequency power coefficients (LFPC), the second employs a 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 the 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, average accuracy of 84% and best accuracy of 95% were obtained in classifying five stress categories. |
| Sponsorship | IEEE Signal Process, Soc |
| File Size | 286937 |
| File Format | |
| ISBN | 0780376633 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2003.1202281 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-04-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stress Speech analysis Frequency Hidden Markov models Power engineering and energy Speech recognition Speech enhancement Tin Power engineering computing Drives |
| Content Type | Text |
| Resource Type | Article |
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