New Features Using Robust MVDR Spectrum of Filtered Autocorrelation Sequence for Robust Speech Recognition
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Queen’s University, Kingston, ON, Canada K7L 3N6
2. Department of Electrical Engineering, Amirkabir University of Technology, Tehran 15914, Iran
Abstract
Publisher
Hindawi Limited
Subject
General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Medicine
Link
http://downloads.hindawi.com/journals/tswj/2013/634160.pdf
Reference12 articles.
1. Perceptual linear predictive (PLP) analysis of speech
2. Cepstrum derived from differentiated power spectrum for robust speech recognition
3. Feature extraction from higher-lag autocorrelation coefficients for robust speech recognition
4. Robust features for noisy speech recognition based on temporal trajectory filtering of short-time autocorrelation sequences
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