Deep Learning for Audio Denoising, Identification, Clustering, and Dimensionality Reduction

碩士 === 國立臺灣科技大學 === 電子工程系 === 105 === With massive amounts of computational power, deep learning has been widely studied in recent years. In this study, we have proposed several systems for audio denoising, identification, clustering, and dimensionality reduction based on deep neural networks (DNN)....

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Bibliographic Details
Main Authors: HSIUNG WEI WEI, 熊蓶蓶
Other Authors: ChingShun Lin
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/59268187298075071428