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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
- 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