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SwishNet: A Fast Convolutional Neural Network for Speech, Music and Noise Classification and Segmentation

By Md. Shamim Hussain and Mohammad Ariful Haque
Speech, Music and Noise classification/segmentation is an important preprocessing step for audio processing/indexing. To this end, we propose a novel 1D Convolutional Neural Network (CNN) - SwishNet. It is a fast and lightweight architecture that operates on MFCC features which is suitable to be added to the front-end of an... Show more
December 1, 2018
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SwishNet: A Fast Convolutional Neural Network for Speech, Music and Noise Classification and Segmentation
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