SampleCNN: End-to-End Deep Convolutional Neural Networks Using Very Small Filters for Music Classification

SampleCNN: End-to-End Deep Convolutional Neural Networks Using Very Small Filters for Music Classification

Convolutional Neural Networks (CNN) have been applied to diverse machine learning tasks for different modalities of raw data in an end-to-end fashion. In the audio domain, a raw waveform-based approach has been explored to directly learn hierarchical characteristics of audio. However, the majority o...

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Bibliographic Details
Main Authors: Jongpil Lee, Jiyoung Park, Keunhyoung Luke Kim, Juhan Nam
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Applied Sciences
Subjects:
convolutional neural networks
music classification
raw waveforms
sample-level filters
downsampling
filter visualization
transfer learning
Online Access:http://www.mdpi.com/2076-3417/8/1/150

Internet

http://www.mdpi.com/2076-3417/8/1/150

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