Amanote Research
Register
Sign In
Multi-Resolution Cepstral Features for Phoneme Recognition Across Speech Sub-Bands
doi 10.1109/icassp.1998.674491
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
P. McCourt
S. Vaseght
N. Harte
Publisher
IEEE
Related search
Modulation Frequency Features for Phoneme Recognition in Noisy Speech
Journal of the Acoustical Society of America
Acoustics
Ultrasonics
Arts
Humanities
Efficient Cepstral Normalization for Robust Speech Recognition
Intra-Frame Cepstral Sub-Band Weighting and Histogram Equalization for Noise-Robust Speech Recognition
Eurasip Journal on Audio, Speech, and Music Processing
Acoustics
Ultrasonics
Electrical
Electronic Engineering
Gammatone Wavelet Cepstral Coefficients for Robust Speech Recognition
A Combined Cepstral Distance Method for Emotional Speech Recognition
International Journal of Advanced Robotic Systems
Hidden Conditional Neural Fields for Continuous Phoneme Speech Recognition
IEICE Transactions on Information and Systems
Electronic Engineering
Pattern Recognition
Hardware
Computer Vision
Electrical
Architecture
Artificial Intelligence
Software
Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features
Speaker-Dependent Features for Spontaneous Speech Recognition
Scientific and Technical Journal of Information Technologies, Mechanics and Optics
Deep Autoencoder Based Speech Features for Improved Dysarthric Speech Recognition
