Isolated English alphabet speech recognition using wavelet cepstral coefficients and neural network
Speech recognition has many applications in various fields. One of the most important phase in speech recognition is feature extraction. In feature extraction relevant important information from the speech signal are extracted. However, two important issues that affect feature extraction are noise r...
Saved in:
Main Author: | Adam, Tarmizi |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/78047/1/TarmiziAdamMFC20141.pdf http://eprints.utm.my/id/eprint/78047/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:83709 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Isolated english alphabet speech recogtion using wavelet cepstral, coefficients and neural network
by: Adam, Tarmizi
Published: (2014) -
Wavelet cepstral coefficients for isolated speech recognition
by: Adam, Tarmizi, et al.
Published: (2012) -
Wavelet cesptral coefficients for isolated speech recognition
by: Adam, Tarmizi, et al.
Published: (2013) -
HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL
GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS
by: GUPTA, SHIKHA
Published: (2013) -
HYBRID ALGORITHM FOR HAND GESTURE RECOGNITION USING LOCAL
GABOR FILTER AND MEL FREQUENCY CEPSTRAL COEFFICIENTS
by: GUPTA, SHIKHA
Published: (2014)