Speech classification using SIFT features on spectrogram images

Speech classification using SIFT features on spectrogram images

Abstract Classification of speech is one of the most vital problems in speech processing. Although there have been many studies on the classification of speech, the results are still limited. Firstly, most of the speech classification approaches requiring input data have the same dimension. Secondly...

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Bibliographic Details
Main Authors: Quang Trung Nguyen, The Duy Bui
Format: Article
Language:English
Published: World Scientific Publishing 2016-06-01
Series:Vietnam Journal of Computer Science
Subjects:
LNBNN
SIFT
Speech perception
Speech classification
Online Access:http://link.springer.com/article/10.1007/s40595-016-0071-3

Internet

http://link.springer.com/article/10.1007/s40595-016-0071-3

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