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Dec 18, 2018 · Xiao, Fangjian Flora Issue Date 2018-12-18 Director of Research (if dissertation) or Advisor (if thesis) Fleck, Margaret M. Department of Study Computer Science Discipline Computer Science Degree Granting Institution University of Illinois at Urbana-Champaign Degree Name M.S. Degree Level Thesis Keyword(s) music; recognition; Abstract
ABSTRACT The motivation of this study is to identify music without the original recording. The exist- ing solutions tackle variations in some properties such as background sound and white noise, but the identi cation of samples containing large variations in key, tempo, ornamentation, and harmonization remains largely unsolved.
Dec 18, 2018 · A mechanism for robust audio recognition andration is proposed, by programming a signal analysis and identification model that transforms distorted human audio into signal frequencies, then deploys a recurrent neural network LSTM unit to process the continuously sequenced frequency points and associated pitch points, subsequently applying softmax classification to identify the correct song.
Fangjian Flora Xiao ENGR Term Expires 2017 . Library . To fill 4 student vacancies unfilled during the spring 2016 elections. Douglas Heintz GRAD Term Expires 2017 ...
F. Xiao, Fangqing Weng, +3 authors Qiangxian Wu; Published in Polymer Composites 1 July 2021; Materials Science, Environmental Science
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Affiliations: [Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO, USA].
