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Journal Article 배경 음악 분리를 위한 확장된 합성곱을 이용한 멀티 밴드 멀티 스케일 DenseNet
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Authors
허운행, 김혜미, 권오욱
Issue Date
2019-11
Citation
한국음향학회지, v.38, no.6, pp.697-702
ISSN
2287-3775
Publisher
한국음향학회
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.7776/ASK.2019.38.6.697
Abstract
We propose a multi-band multi-scale DenseNet with dilated convolution that separates background music signals from broadcast content. Dilated convolution can learn the multi-scale context information represented by spectrogram. In computer simulation experiments, the proposed architecture is shown to improve Signal to Distortion Ratio (SDR) by 0.15 dB and 0.27 dB in 0dB and ??10 dB Signal to Noise Ratio (SNR) environments, respectively.
KSP Keywords
Background music, Computer simulation(MC and MD), Context Information, Dilated Convolution, Multi-scale, Signal noise ratio(SNR), Signal to Distortion Ratio(SDR), Signal-to-Noise, Simulation and experiment, multi-band