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Time-Frequency Networks for Audio Super-Resolution

Abstract: 

Audio super-resolution (a.k.a. bandwidth extension) is the challenging task of increasing the temporal resolution of audio signals. Recent deep networks approaches achieved promising results by modeling the task as a regression problem in either time or frequency domain. In this paper, we introduced Time-Frequency Network (TFNet), a deep network that utilizes supervision in both the time and frequency domain. We proposed a novel model architecture which allows the two domains to be jointly optimized. Results demonstrate that our method outperforms the state-of-the-art both quantitatively and qualitatively.

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Paper Details

Authors:
Yijia Xu, Minh N. Do, Mark Hasegawa-Johnson
Submitted On:
17 April 2018 - 12:54am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Teck Yian Lim
Paper Code:
3828
Document Year:
2018
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Document Files

audio_sr_poster.pdf

(11 downloads)

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[1] Yijia Xu, Minh N. Do, Mark Hasegawa-Johnson, "Time-Frequency Networks for Audio Super-Resolution", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2928. Accessed: Apr. 20, 2018.
@article{2928-18,
url = {http://sigport.org/2928},
author = {Yijia Xu; Minh N. Do; Mark Hasegawa-Johnson },
publisher = {IEEE SigPort},
title = {Time-Frequency Networks for Audio Super-Resolution},
year = {2018} }
TY - EJOUR
T1 - Time-Frequency Networks for Audio Super-Resolution
AU - Yijia Xu; Minh N. Do; Mark Hasegawa-Johnson
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2928
ER -
Yijia Xu, Minh N. Do, Mark Hasegawa-Johnson. (2018). Time-Frequency Networks for Audio Super-Resolution. IEEE SigPort. http://sigport.org/2928
Yijia Xu, Minh N. Do, Mark Hasegawa-Johnson, 2018. Time-Frequency Networks for Audio Super-Resolution. Available at: http://sigport.org/2928.
Yijia Xu, Minh N. Do, Mark Hasegawa-Johnson. (2018). "Time-Frequency Networks for Audio Super-Resolution." Web.
1. Yijia Xu, Minh N. Do, Mark Hasegawa-Johnson. Time-Frequency Networks for Audio Super-Resolution [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2928