暂无分享,去创建一个
Rushil Anirudh | Jayaraman J. Thiagarajan | Andreas Spanias | Vivek Narayanaswamy | A. Spanias | Rushil Anirudh | V. Narayanaswamy
[1] Hiroshi Sawada,et al. Audio source separation based on independent component analysis , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).
[2] Mark D. Plumbley,et al. Raw Multi-Channel Audio Source Separation using Multi- Resolution Convolutional Auto-Encoders , 2018, 2018 26th European Signal Processing Conference (EUSIPCO).
[3] Alexei A. Efros,et al. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[4] Andrea Vedaldi,et al. Deep Image Prior , 2017, International Journal of Computer Vision.
[5] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[6] Nima Mesgarani,et al. Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation , 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[7] Nicolas Usunier,et al. SING: Symbol-to-Instrument Neural Generator , 2018, NeurIPS.
[8] Chenliang Xu,et al. Preprint-work in progress , 2019 .
[9] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[10] Emmanuel Vincent,et al. Single-channel audio source separation with NMF: divergences, constraints and algorithms , 2018 .
[11] Alexandros G. Dimakis,et al. Compressed Sensing using Generative Models , 2017, ICML.
[12] R. Howe,et al. 17th International Conference on Medical Image Computing and Computer-Assisted Intervention. , 2014, Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.
[13] Tuomas Virtanen,et al. Sound Source Separation Using Sparse Coding with Temporal Continuity Objective , 2003, ICMC.
[14] Andreas Spanias,et al. Advances in speech and audio processing and coding , 2015, 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA).
[15] Ted Painter,et al. Audio Signal Processing and Coding , 2007 .
[16] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[17] Antoine Liutkus,et al. The 2018 Signal Separation Evaluation Campaign , 2018, LVA/ICA.
[18] Chinmay Hegde,et al. Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[19] Gunnar Rätsch,et al. Kernel PCA and De-Noising in Feature Spaces , 1998, NIPS.
[20] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[21] Ren Ng,et al. Single Image Reflection Separation with Perceptual Losses , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[22] Pete Warden,et al. Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition , 2018, ArXiv.
[23] Volker Gnann. SOURCE-FILTER BASED CLUSTERING FOR MONAURAL BLIND SOURCE SEPARATION , 2009 .
[24] Chris Donahue,et al. Adversarial Audio Synthesis , 2018, ICLR.
[25] Chris Donahue,et al. Synthesizing Audio with Generative Adversarial Networks , 2018, ArXiv.
[26] Joshua D. Reiss,et al. Over-Determined Source Separation and Localization Using Distributed Microphones , 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[27] Tuomas Virtanen,et al. Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[28] Xavier Serra,et al. End-to-end music source separation: is it possible in the waveform domain? , 2018, INTERSPEECH.
[29] Michael I. Jordan,et al. Advances in Neural Information Processing Systems 30 , 1995 .
[30] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[31] Rushil Anirudh,et al. MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking , 2020, International Journal of Computer Vision.
[32] Nuno Vasconcelos,et al. Self-Supervised Generation of Spatial Audio for 360 Video , 2018, NIPS 2018.
[33] Aaron C. Courville,et al. Improved Training of Wasserstein GANs , 2017, NIPS.
[34] Simon Dixon,et al. Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation , 2018, ISMIR.
[35] Naoya Takahashi,et al. Mmdenselstm: An Efficient Combination of Convolutional and Recurrent Neural Networks for Audio Source Separation , 2018, 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC).
[36] Karthikeyan Natesan Ramamurthy,et al. Mixing matrix estimation using discriminative clustering for blind source separation , 2013, Digit. Signal Process..
[37] Nicolas Usunier,et al. Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed , 2019, ArXiv.
[38] Juha Karhunen,et al. Nonlinear PCA type approaches for source separation and independent component analysis , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.