Lightweight End-to-End Deep Learning Model for Music Source Separation

Lightweight End-to-End Deep Learning Model for Music Source Separation

碩士 === 國立中央大學 === 資訊工程學系 === 107 === DNNs(Deep neural networks) have made rapid progress in the field of audio processing. In the past, most of them used spectrum information via STFT (Short Term Fourier Transform), but them usually only deal with real parts. In recent years, in order to avoid the i...

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Bibliographic Details
Main Authors:	Yao-Ting Wang, 王耀霆
Other Authors:	Jia-Ching Wang
Format:	Others
Language:	zh-TW
Published:	2019
Online Access:	http://ndltd.ncl.edu.tw/handle/2gq2x6

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