Phoneme Recognition Using Interlaced Derivative Pattern and Co-occurrence Matrix Method
Author:
Affiliation:
1. Guangdong University of Technology,Faculty of Information Engineering,Guangzhou,China
2. AI Mnemonic Limited Science Park,Hong Kong,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9743199/9742708/09743267.pdf?arnumber=9743267
Reference19 articles.
1. Optimizing Arabic Speech Distinctive Phonetic Features and Phoneme Recognition Using Genetic Algorithm
2. Acoustic-phonetic features for the automatic classification of stop consonants
3. Online phoneme recognition using multi-layer perceptron networks combined with recurrent non-linear autoregressive neural networks with exogenous inputs
4. Co-occurrence matrix and its statistical features as a new approach for face recognition;eleyan;Turkish Journal of Electrical Engineering and Computer Sciences,2011
5. Integration of colour and uniform interlaced derivative patterns for object tracking;razavi;IET Image Processing,2016
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