NnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks

10.1109/ACCESS.2020.3019084

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Bibliographic Details
Main Authors:	Cheuk, K.W., Anderson, H., Agres, K., Herremans, D.
Other Authors:	YONG SIEW TOH CONSERVATORY OF MUSIC
Format:	Article
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	constant Q transform Convolution CQT discrete Fourier transform GPU library Mel Spectrogram PyTorch short time Fourier transform signal processing spectrogram
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/198955
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-198955
record_format	dspace
spelling	sg-nus-scholar.10635-1989552023-08-29T09:41:15Z NnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks Cheuk, K.W. Anderson, H. Agres, K. Herremans, D. YONG SIEW TOH CONSERVATORY OF MUSIC constant Q transform Convolution CQT discrete Fourier transform GPU library Mel Spectrogram PyTorch short time Fourier transform signal processing spectrogram 10.1109/ACCESS.2020.3019084 IEEE Access 8 161981-162003 2021-08-24T02:38:26Z 2021-08-24T02:38:26Z 2020 Article Cheuk, K.W., Anderson, H., Agres, K., Herremans, D. (2020). NnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks. IEEE Access 8 : 161981-162003. ScholarBank@NUS Repository. https://doi.org/10.1109/ACCESS.2020.3019084 2169-3536 https://scholarbank.nus.edu.sg/handle/10635/198955 Institute of Electrical and Electronics Engineers Inc. Scopus OA2020
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	constant Q transform Convolution CQT discrete Fourier transform GPU library Mel Spectrogram PyTorch short time Fourier transform signal processing spectrogram
spellingShingle	constant Q transform Convolution CQT discrete Fourier transform GPU library Mel Spectrogram PyTorch short time Fourier transform signal processing spectrogram Cheuk, K.W. Anderson, H. Agres, K. Herremans, D. NnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks
description	10.1109/ACCESS.2020.3019084
author2	YONG SIEW TOH CONSERVATORY OF MUSIC
author_facet	YONG SIEW TOH CONSERVATORY OF MUSIC Cheuk, K.W. Anderson, H. Agres, K. Herremans, D.
format	Article
author	Cheuk, K.W. Anderson, H. Agres, K. Herremans, D.
author_sort	Cheuk, K.W.
title	NnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks
title_short	NnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks
title_full	NnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks
title_fullStr	NnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks
title_full_unstemmed	NnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks
title_sort	nnaudio: an on-the-fly gpu audio to spectrogram conversion toolbox using 1d convolutional neural networks
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/198955
_version_	1779153950427054080

NnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks

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