Restoring degraded speech via a modified diffusion model

T. E. Tremain, “The government standard linear predictive coding algorithm: Lpc-10,” Speech Technology , pp. 40–49, 1982

1982

Earlier work this paper cites.

J. S. Garofolo, L. F. Lamel, W. M. Fisher, J. G. Fiscus, and D. S. Pallett, “Darpa timit acoustic-phonetic continous speech corpus cd-rom. nist speech disc 1-1.1,” NASA STI/Recon technical report n , vol. 93, p. 27403, 1993

1993

Earlier work this paper cites.

A. W. Rix, J. G. Beerends, M. P. Hollier, and A. P. Hekstra, “Perceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,” in 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No. 01CH37221) , vol. 2. IEEE, 2001, pp. 749–752

2001

Earlier work this paper cites.

M. K. Hasan, S. Salahuddin, and M. R. Khan, “A modified a priori snr for speech enhancement using spectral subtraction rules,” IEEE Signal Processing Letters , vol. 11, no. 4, pp. 450–453, 2004

2004

Earlier work this paper cites.

Y. Hu and P. C. Loizou, “Evaluation of objective quality measures for speech enhancement,” IEEE Transactions on Audio, Speech, and Language Processing , vol. 16, no. 1, pp. 229–238, 2007

2007

Earlier work this paper cites.

M. Abd El-Fattah, M. I. Dessouky, S. M. Diab, and F. E.-S. Abd El-Samie, “Speech enhancement using an adaptive wiener filtering approach,” Progress in Electromagnetics Research , vol. 4, pp. 167–184, 2008

2008

Earlier work this paper cites.

3GPP, “3gpp ts 26.090 - mandatory speech codec speech processing functions; adaptive multi-rate (amr) speech codec; transcoding functions,” 3GPP , Retrieved 2010-07-21

2010

Earlier work this paper cites.

P. C. Loizou, Speech enhancement: theory and practice . CRC Press, 2013

2013

Cited alongside, same era.

D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv preprint arXiv:1412.6980 , 2014

Original

2014

Cited alongside, same era.

A. v. d. 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,” arXiv preprint arXiv:1609.03499 , 2016

Original

2016

Cited alongside, same era.

S. Pascual, A. Bonafonte, and J. Serra, “Segan: Speech enhancement generative adversarial network,” arXiv preprint arXiv:1703.09452 , 2017

Original

2017

Cited alongside, same era.

T. Lan, Y. Lyu, W. Ye, G. Hui, Z. Xu, and Q. Liu, “Combining multi-perspective attention mechanism with convolutional networks for monaural speech enhancement,” IEEE Access , vol. 8, pp. 78 979–78 991, 2020

2020

Later among the works it cites.

J. Su, Z. Jin, and A. Finkelstein, “Hifi-gan: High-fidelity denoising and dereverberation based on speech deep features in adversarial networks,” arXiv preprint arXiv:2006.05694 , 2020

Original

2020

Later among the works it cites.

W. Ping, K. Peng, K. Zhao, and Z. Song, “Waveflow: A compact flow-based model for raw audio,” in International Conference on Machine Learning . PMLR, 2020, pp. 7706–7716

2020

Later among the works it cites.

Z. Kong, W. Ping, J. Huang, K. Zhao, and B. Catanzaro, “Diffwave: A versatile diffusion model for audio synthesis,” arXiv preprint arXiv:2009.09761 , 2020

Original

2020

Later among the works it cites.