Amanote Research
Register
Sign In
Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features
doi 10.1109/icassp.2009.4960618
Full Text
Open PDF
Abstract
Available in
full text
Date
April 1, 2009
Authors
Samuel Thomas
Sriram Ganapathy
Hynek Hermansky
Publisher
IEEE
Related search
Modulation Frequency Features for Phoneme Recognition in Noisy Speech
Journal of the Acoustical Society of America
Acoustics
Ultrasonics
Arts
Humanities
Segregation of Concurrent Sounds. II: Effects of Spectral Envelope Tracing, Frequency Modulation Coherence, and Frequency Modulation Width
Journal of the Acoustical Society of America
Acoustics
Ultrasonics
Arts
Humanities
Automatic Modulation Recognition Using Compressive Cyclic Features
Algorithms
Mathematics
Computational Mathematics
Numerical Analysis
Theoretical Computer Science
Computational Theory
Phoneme Recognition System Using Articulatory-Type Information
TECCIENCIA
Performance Enhancement of Phoneme Recognition Using GPUs
Object Recognition Using Frequency Domain Blur Invariant Features
Robust Spectral Features for Emotion Recognition Using GMM and SVM With PCA
International Journal of Recent Technology and Engineering
Engineering
Management of Technology
Innovation
Multi-Resolution Cepstral Features for Phoneme Recognition Across Speech Sub-Bands
Signal Adaptive Spectral Envelope Estimation for Robust Speech Recognition
Speech Communication
Linguistics
Pattern Recognition
Language
Communication
Simulation
Computer Vision
Computer Science Applications
Modeling
Software
