Investigation of speech disfluencies classification on different threshold selection techniques using energy feature extraction / Raseeda Hamzah and Nursuriati Jamil
Filled pause and Elongation are the two types of speech disfluencies that need more suitable acoustical features to be classified correctly since they are always being misclassified. This work concentrates on developing an accurate and robust energy feature extraction for modelling filled pause and...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UiTM
2019
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/43819/1/43819.pdf https://ir.uitm.edu.my/id/eprint/43819/ https://mjoc.uitm.edu.my |
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| Institution: | Universiti Teknologi Mara |
| Language: | English |