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Article
Empirical mode decomposition based statistical features for discrimination of speech and low frequency music signal
This work aims to investigate the significance of different Empirical Mode Decomposition (EMD) based statistical features for discrimination of speech and low frequency music signal (guitar signals) which most...
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Article
A Novel Method for CNN Training Using Existing Color Datasets for Classifying Hand Postures in Bayer Images
Deep learning has revolutionized the computer vision by achieving human level performance on classification and detection of the objects in the images. These algorithms are often trained using supervised learn...
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Article
Performance evaluation of psycho-acoustically motivated front-end compensator for TIMIT phone recognition
Wavelet-based front-end processing technique has gained popularity for its noise removing capability. In this paper, a robust automatic speech recognition system is proposed by utilizing the advantages of psyc...
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Chapter and Conference Paper
An Improved Method for Contrast Enhancement of Real World Hyperspectral Images
This paper proposed an improved method for contrast enhancement of real world hyperspectral images. The proposed method consists of two stages: In first stage the poor quality of image is processed by adaptive hi...
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Chapter and Conference Paper
Reduced Complexity Pseudo-fractional Adaptive Algorithm with Variable Tap-Length Selection
The structural complexity and overall performance of the adaptive filter depend on its structure. The number of taps is one of the most important structural parameters of the liner adaptive filter. In practice...