On Training Targets for Supervised Speech Separation
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: 2014شناسه الکترونیک: 10.1109/TASLP.2014.2352935
کلیدواژه(گان): Fourier transforms,learning (artificial intelligence),matrix decomposition,neural nets,source separation,speech coding,speech intelligibility,time-frequency analysis,FFT-mask,Fourier transform spectral magnitude,Gammatone frequency power spectrum,IBM,IRM,ideal binary mask,ideal ratio mask,masking based targets,neural network,nonnegative matrix factorization,spectral envelope based targets,speech enhancement,speech intelligibility gains,supervised learning algorithm,supervis
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On Training Targets for Supervised Speech Separation
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contributor author | Yuxuan Wang | |
contributor author | Narayanan, Arun | |
contributor author | DeLiang Wang | |
date accessioned | 2020-03-13T00:20:31Z | |
date available | 2020-03-13T00:20:31Z | |
date issued | 2014 | |
identifier issn | 2329-9290 | |
identifier other | 6887314.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1143137 | |
format | general | |
language | English | |
publisher | IEEE | |
title | On Training Targets for Supervised Speech Separation | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 8325734 | |
subject keywords | Fourier transforms | |
subject keywords | learning (artificial intelligence) | |
subject keywords | matrix decomposition | |
subject keywords | neural nets | |
subject keywords | source separation | |
subject keywords | speech coding | |
subject keywords | speech intelligibility | |
subject keywords | time-frequency analysis | |
subject keywords | FFT-mask | |
subject keywords | Fourier transform spectral magnitude | |
subject keywords | Gammatone frequency power spectrum | |
subject keywords | IBM | |
subject keywords | IRM | |
subject keywords | ideal binary mask | |
subject keywords | ideal ratio mask | |
subject keywords | masking based targets | |
subject keywords | neural network | |
subject keywords | nonnegative matrix factorization | |
subject keywords | spectral envelope based targets | |
subject keywords | speech enhancement | |
subject keywords | speech intelligibility gains | |
subject keywords | supervised learning algorithm | |
subject keywords | supervis | |
identifier doi | 10.1109/TASLP.2014.2352935 | |
journal title | Audio, Speech, and Language Processing, IEEE/ACM Transactions on | |
journal volume | 22 | |
journal issue | 12 | |
filesize | 1816381 | |
citations | 4 |