Implementation of feature extraction and classification for speech dysfluencies
Speech is prone to disruption of involuntary dysfluent events especially repetitions and prolongations of sounds, syllables and words which lead to dysfluency in communication. Traditionally, speech language pathologists count and classify occurrence of dysfluencies in flow of speech manually. Ho...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
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Universiti Malaysia Perlis (UniMAP)
2012
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| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/21614 |
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