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...
Saved in:
主要作者: | Lim, Sin Chee |
---|---|
格式: | Thesis |
語言: | English |
主題: | |
在線閱讀: | http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/21614/1/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/21614/2/p.%201-24.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Speech features analysis of the joint speech separation and automatic speech recognition model /
由: Khan, Tawseef
出版: (2021) -
Classroom speech intelligibility prediction system for front-rear speech amplified classroom based on audio features
由: Mohammad Ridhwan, Tamjis - Feature enhancement and selection methods for isolated Malay speech recognition
-
Integration of persuasive technique in 'speech pronunciation practice' system for children with speech disorders /
由: Nurliza Abd Hamid
出版: (2013) -
Teach speech skill to children with mild autism using randomization technique in mobile application / Mohammd Khairi Ali
由: Ali, Mohammd Khairi
出版: (2015)