Amanote Research
Register
Sign In
High-Dimensional Linear Representations for Robust Speech Recognition
doi 10.1109/ita.2010.5454172
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2010
Authors
Matthew Ager
Zoran Cvetkovic
Peter Sollich
Publisher
IEEE
Related search
Discriminative Piecewise Linear Transformation Based on Deep Learning for Noise Robust Automatic Speech Recognition
Acoustical Pre-Processing for Robust Speech Recognition
Efficient Cepstral Normalization for Robust Speech Recognition
Robust Recognition of Children's Speech
IEEE Transactions on Speech and Audio Processing
Gammatone Wavelet Cepstral Coefficients for Robust Speech Recognition
Robust Palmprint Recognition Based on Directional Representations
IFIP Advances in Information and Communication Technology
Computer Networks
Information Systems
Management
Communications
Signal Adaptive Spectral Envelope Estimation for Robust Speech Recognition
Speech Communication
Linguistics
Pattern Recognition
Language
Communication
Simulation
Computer Vision
Computer Science Applications
Modeling
Software
Multi-Microphone Correlation-Based Processing for Robust Speech Recognition
Pseudo-Articulatory Representations in Speech Synthesis and Recognition
