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We studied the ability of deep neural networks (DNNs) to restore missing audio content based on its context, a process usually referred to as audio inpainting.
Burg, J. P., “Maximum entropy spectral analysis,” 37th Annual International Meeting, Soc. of Explor. Geophys., Oklahoma City , 1967
1967
Earlier work this paper cites.
Portnoff, M., “Implementation of the digital phase vocoder using the fast fourier transform,” IEEE Trans. Acoust. Speech Signal Process. , 24(3), pp. 243–248, 1976
1976
Earlier work this paper cites.
Tremain, T. E., “The Government Standard Linear Predictive Coding Algorithm: LPC-10,” Speech Technology , pp. 40–49, 1982
1982
Earlier work this paper cites.
Griffin, D. and Lim, J., “Signal estimation from modified short-time Fourier transform,” IEEE Transactions on Acoustics, Speech and Signal Processing , 32(2), pp. 236–243, 1984
1984
Earlier work this paper cites.
Krogh, A. and Hertz, J., “A Simple Weight Decay Can Improve Generalization,” in Advances in neural information processing systems 4 , pp. 950–957, Morgan Kaufmann, 1992
1992
Earlier work this paper cites.
Etter, W., “Restoration of a discrete-time signal segment by interpolation based on the left-sided and right-sided autoregressive parameters,” IEEE Transactions on Signal Processing , 44(5), pp. 1124–1135, 1996, doi: 10.1109/78.502326
1996
Earlier work this paper cites.
Gröchenig, K., Foundations of Time-Frequency Analysis , Appl. Numer. Harmon. Anal., Birkhäuser, 2001
2001
Earlier work this paper cites.
Kauppinen, I., Kauppinen, J., and Saarinen, P., “A method for long extrapolation of audio signals,” Journal of the Audio Engineering Society , 49(12), pp. 1167–1180, 2001
2001
Earlier work this paper cites.
Kauppinen, I. and Roth, K., “Audio signal extrapolation–theory and applications,” in Proc. DAFx , pp. 105–110, 2002
2002
Earlier work this paper cites.
Kauppinen, I. and Kauppinen, J., “Reconstruction method for missing or damaged long portions in audio signal,” Journal of the Audio Engineering Society , 50(7/8), pp. 594–602, 2002
2002
Earlier work this paper cites.
Rajman, M. and Pallota, V., Speech and language engineering , EPFL Press, 2007
2007
Earlier work this paper cites.
Adler, A., Emiya, V., Jafari, M., Elad, M., Gribonval, R., and Plumbley, M., “A constrained matching pursuit approach to audio declipping,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2011, doi: 10.1109/icassp.2011.5946407
2011
Earlier work this paper cites.
Adler, A., Emiya, V., Jafari, M. G., Elad, M., Gribonval, R., and Plumbley, M. D., “Audio Inpainting,” IEEE Transactions on Audio, Speech and Language Processing , 20(3), pp. 922–932, 2012, doi: 10.1109/TASL.2011.2168211
2011
Earlier work this paper cites.
Sturmel, N. and Daudet, L., “Signal reconstruction from STFT magnitude: A state of the art,” in International conference on digital audio effects (DAFx) , pp. 375–386, 2011
2011
Earlier work this paper cites.
Boulanger-Lewandowski, N., Bengio, Y., and Vincent, P., “Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription,” in ICML , 2012
2012
Earlier work this paper cites.
2012
Earlier work this paper cites.
Perraudin, N., Balazs, P., and Søndergaard, P. L., “A fast Griffin-Lim algorithm,” in Applications of Signal Processing to Audio and Acoustics (WASPAA), 2013 IEEE Workshop on , pp. 1–4, IEEE, 2013
2013
Cited alongside, same era.
Kingma, D. and Welling, M., “Auto-Encoding Variational Bayes.” CoRR , abs/1312.6114, 2013
2013
Cited alongside, same era.
Siedenburg, K., Dörfler, M., and Kowalski, M., “Audio inpainting with social sparsity,” SPARS (Signal Processing with Adaptive Sparse Structured Representations) , 2013
2013
Cited alongside, same era.
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y., “Generative adversarial nets,” in Advances in neural information processing systems , pp. 2672–2680, 2014
2014
Cited alongside, same era.
2017
Later among the works it cites.
Průša, Z., Balazs, P., and Søndergaard, P., “A noniterative method for reconstruction of phase from STFT magnitude,” IEEE/ACM Transactions on Audio, Speech and Language Processing , 25(5), pp. 1154–1164, 2017
2017
Later among the works it cites.
Schlüter, J., Deep Learning for Event Detection, Sequence Labelling and Similarity Estimation in Music Signals , Ph.D. thesis, Johannes Kepler University Linz, Austria, 2017
2017
Later among the works it cites.
2017
Later among the works it cites.
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Bahat, Y., Schechner, Y., and Elad, M., “Self-content-based audio inpainting,” Signal Processing , 111, pp. 61–72, 2015, doi: 10.1016/j.sigpro.2014.11.023
2014
Cited alongside, same era.
Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., and Salakhutdinov, R., “Dropout: a simple way to prevent neural networks from overfitting,” The Journal of Machine Learning Research , 15(1), pp. 1929–1958, 2014
2014
Cited alongside, same era.
Lee, B.-K. and Chang, J.-H., “Packet Loss Concealment Based on Deep Neural Networks for Digital Speech Transmission,” IEEE/ACM Trans. Audio, Speech and Lang. Proc. , 24(2), pp. 378–387, 2016, ISSN 2329-9290, doi: 10.1109/TASLP.2015.2509780
2015
Cited alongside, same era.
Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Mané, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Viégas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., and Zheng, X., “TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems,” 2015, software available from tensorflow.org
2015
Cited alongside, same era.
2015
Cited alongside, same era.
Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., and Efros, A., “Context Encoders: Feature Learning by Inpainting,” 2016
2016
Cited alongside, same era.
Goodfellow, I., Bengio, Y., and Courville, A., Deep Learning , MIT Press, 2016, http://www.deeplearningbook.org
2016
Cited alongside, same era.
2016
Cited alongside, same era.
2017
Later among the works it cites.
Blaauw, M. and Bonada, J., “A Neural Parametric Singing Synthesizer,” CoRR , abs/1704.03809, 2017
2017
Later among the works it cites.
Průša, Z., “The Phase Retrieval Toolbox,” in AES International Conference On Semantic Audio , Erlangen, Germany, 2017
2017
Later among the works it cites.
Engel, J., Resnick, C., Roberts, A., Dieleman, S., Eck, D., Simonyan, K., and Norouzi, M., “Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders,” 2017
2017
Later among the works it cites.
Defferrard, M., Benzi, K., Vandergheynst, P., and Bresson, X., “FMA: A Dataset for Music Analysis,” in 18th International Society for Music Information Retrieval Conference , 2017
2017
Later among the works it cites.
Donahue, C., McAuley, J., and Puckette, M., “Synthesizing Audio with Generative Adversarial Networks,” ArXiv e-prints , 2018
2018
Closest in time.
2018
Closest in time.
Toumi, I. and Emiya, V., “Sparse non-local similarity modeling for audio inpainting,” in ICASSP - IEEE International Conference on Acoustics, Speech and Signal Processing , Calgary, Canada, 2018
2018
Closest in time.
Lieb, F. and Stark, H.-G., “Audio inpainting: Evaluation of time-frequency representations and structured sparsity approaches,” Signal Processing , 153, pp. 291–299, 2018
2018
Closest in time.
Perraudin, N., Holighaus, N., Majdak, P., and Balazs, P., “Inpainting of long audio segments with similarity graphs,” IEEE/ACM Transactions on Audio, Speech and Language Processing , PP(99), pp. 1–1, 2018, ISSN 2329-9290, doi: 10.1109/TASLP.2018.2809864
2018
Closest in time.
Necciari, T., Holighaus, N., Balazs, P., Průša, Z., Majdak, P., and Derrien, O., “Audlet Filter Banks: A Versatile Analysis/Synthesis Framework Using Auditory Frequency Scales,” Applied Sciences , 8(1:96), 2018
2018
Closest in time.