Wavelet cesptral coefficients for isolated speech recognition
The study proposes an improved feature extraction method that is called Wavelet Cepstral Coefficients (WCC). In traditional cepstral analysis, the cepstrums are calculated with the use of the Discrete Fourier Transform (DFT). Owing to the fact that the DFT calculation assumes signal stationary betwe...
Main Authors: | Adam, Tarmizi, Salam, Md Sah, Gunawan, Teddy Surya |
---|---|
Format: | Article |
Language: | English |
Published: |
UAD and IAES
2013
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/32110/ http://irep.iium.edu.my/32110/ http://irep.iium.edu.my/32110/ http://irep.iium.edu.my/32110/1/Adam2013_Telkomnika_Wavelet_Cepstral_Coefficients_for_Isolated_Speech_Recognition.pdf |
Similar Items
-
Wavelet cepstral coefficients for isolated speech recognition
by: Adam, Tarmizi, et al.
Published: (2012) -
Command by speech recognition
by: Ardian Syah, Mohd Yusof
Published: (2008) -
Nonstationary signal reconstruction from TVAR coefficients
by: Najeeb, Athaur Rahman, et al.
Published: (2018) -
English digits speech recognition system based on Hidden Markov Models
by: Abushariah, Ahmad A. M., et al.
Published: (2010) -
Application of Speech Recognition for Swiftlet Vocalizations
by: Siti Nurzalikha Zaini, Husni Zaini, et al.
Published: (2013)