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Audio super-resolution is a challenging task of recovering the missing high-resolution features from a low-resolution signal.
D. Griffin and J. Lim, “Signal estimation from modified short-time fourier transform,”
1984
Earlier work this paper cites.
Kun-Youl Park and Hyung Soon Kim, “Narrowband to wideband conversion of speech using gmm based transformation,” in
2000
Earlier work this paper cites.
M. Nilsson and W. B. Kleijn, “Avoiding over-estimation in bandwidth extension of telephony speech,” in
2001
Earlier work this paper cites.
Y. Nakatoh, M. Tsushima, and T. Norimatsu, “Generation of broadband speech from narrowband speech based on linear mapping,”
2002
Earlier work this paper cites.
P. Jax and P. Vary, “Artificial bandwidth extension of speech signals using mmse estimation based on a hidden markov model,” in
2003
Earlier work this paper cites.
C. Liu, Q.-J. Fu, and S. S. Narayanan, “Effect of bandwidth extension to telephone speech recognition in cochlear implant users,”
2009
Earlier work this paper cites.
K. Paliwal, K. Wójcicki, and B. Shannon, “The importance of phase in speech enhancement,”
2011
Earlier work this paper cites.
N. Perraudin, P. Balazs, and P. L. Søndergaard, “A fast griffin-lim algorithm,” in
2013
Cited alongside, same era.
K. Li and C.-H. Lee, “A deep neural network approach to speech bandwidth expansion,” in
2015
Cited alongside, same era.
C. Dong, C. C. Loy, K. He, and X. Tang, “Image super-resolution using deep convolutional networks,”
2015
Cited alongside, same era.
J. Kim, J. Kwon Lee, and K. Mu Lee, “Accurate image super-resolution using very deep convolutional networks,” in
2016
Cited alongside, same era.
P. Mowlaee, R. Saeidi, and Y. Stylianou, “Advances in phase-aware signal processing in speech communication,”
2016
Cited alongside, same era.
A. van den Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. Senior, and K. Kavukcuoglu, “Wavenet: A generative model for raw audio,” in
V. Kuleshov, S. Z. Enam, and S. Ermon, “Audio super resolution using neural networks,”
2017
Later among the works it cites.
M. Arjovsky, S. Chintala, and L. Bottou, “Wasserstein generative adversarial networks,” in
2017
Later among the works it cites.
S. E. Eskimez and K. Koishida, “Speech super resolution generative adversarial network,” in
2019
Later among the works it cites.
S. E. Eskimez, K. Koishida, and Z. Duan, “Adversarial training for speech super-resolution,”
2019
Later among the works it cites.
K. Kumar, R. Kumar, T. de Boissiere, L. Gestin, W. Z. Teoh, J. Sotelo, A. de Brébisson, Y. Bengio, and A. C. Courville, “Melgan: Generative adversarial networks for conditional waveform synthesis,” in
2019
Later among the works it cites.
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2016
Cited alongside, same era.
2016
Cited alongside, same era.
Y. Masuyama, K. Yatabe, Y. Koizumi, Y. Oikawa, and N. Harada, “Deep griffin–lim iteration,” in
2019
Later among the works it cites.
Y. Ai and Z.-H. Ling, “A neural vocoder with hierarchical generation of amplitude and phase spectra for statistical parametric speech synthesis,”
2020
Closest in time.