Amanote Research
Register
Sign In
Analysis-By-Synthesis Features for Speech Recognition
doi 10.1109/icassp.2008.4518577
Full Text
Open PDF
Abstract
Available in
full text
Date
March 1, 2008
Authors
Ziad Al Bawab
Bhiksha Raj
Richard M. Stern
Publisher
IEEE
Related search
DWT Features Performance Analysis for Automatic Speech Recognition of Urdu
SpringerPlus
Multidisciplinary
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
Audio Segmentation for Speech Recognition Using Segment Features
Advances in Intelligent Systems and Computing
Control
Systems Engineering
Computer Science
Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System
The Scientific World Journal
Biochemistry
Medicine
Genetics
Molecular Biology
Environmental Science
Audio Segmentation for Speech Recognition Using Segment Features
Speech Recognition Using Advanced HMM2 Features
Modulation Frequency Features for Phoneme Recognition in Noisy Speech
Journal of the Acoustical Society of America
Acoustics
Ultrasonics
Arts
Humanities
Word Recognition, Speech Analysis and Synthesis System Using for a Large Vocabulary Speech Recognition LSI and High Speed Signal Processor
IEEJ Transactions on Electronics, Information and Systems
Electronic Engineering
Electrical
