1 |
M. Dietz, L. Liljeryd, K. Kjorling, and O. Kunz, "Spectral Band Replication, a Novel Approach in Audio Coding," in Audio Engineering Society 112th Convention, p.553, 2002.
|
2 |
Volodymyr K., S. Zayd Enam, Stefano E., "Audio Super Resolution using Neural Networks" Presented at the 5th International Conference on Learning Representations(ICLR), 2017, arXiv: 1708.00853v1
|
3 |
Yu Gu, Z. Ling, Li-Rong Dai, "Speech Bandwidth Extension Using Bottleneck Features and Deep Recurrent Neural Networks," INTERSPEECH, 2016. DOI: 10.21437/Interspeech.2016-678
DOI
|
4 |
Ian Goodfellow et al., "Generative Adversarial Nets," Advances in Neural Information Processing Systems, vol.27, pp.2672-2680. 2014.
|
5 |
Hyo-Jin Cho et al, Seong-Hyeon Shin, Seung Kwon Beack, Taejin Lee, Hochong Park, "Audio High-Band Coding based on Autoencoder with Side Information," Journal of Broadcast Engineering (JBE), Vol.24, No.3, pp.387-394, 2019. DOI: 10.5909/JBE.2019.24.3.387
DOI
|
6 |
B. Pramod, T. Massimiliano, E. Nicholas, "Artificial Bandwidth Extension with Memory Inclusion Using Semi-supervised Stacked Auto-encoders," INTERSPEECH, pp.1185-1189, 2018. DOI: 10.21437/Interspeech.2018-2213
DOI
|
7 |
Olaf R., Philipp F., Thomas B., "U-Net: Convolutional Networks for Biomedical Image Segmentation," Medical Image Computing and Computer-Assisted Intervention(MICCAI), pp. 234-241, 2015.
|
8 |
C. Szegedy et al., "Going deeper with convolutions," 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1-9, 2015. DOI: 2015, 10.1109/CVPR.2015.7298594.
DOI
|
9 |
Sugn K. Visvesh S., "Bandwidth Extension on Raw Audio via Generative Adversarial Networks," 2019, arXiv:1903.09027
|
10 |
W. Shi et al., "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network," 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1874-1883, 2016. DOI: 10.1109/CVPR.2016.207.
DOI
|
11 |
Veaux, Christophe; Yamagishi, Junichi; MacDonald, Kirsten. "CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit," University of Edinburgh. The Centre for Speech Technology Research (CSTR), 2017. DOI: 10.7488/ds/1994
DOI
|
12 |
Diederik P Kingma, Max Welling, "Auto-Encoding Variational Bayes," 2014, arXiv preprint arXiv:1312.6114
|