Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask
暂无分享,去创建一个
Yoshua Bengio | Gerald Schuller | Tuomas Virtanen | Konstantinos Drossos | Stylianos Ioannis Mimilakis | João Felipe Santos | Yoshua Bengio | T. Virtanen | S. Mimilakis | J. F. Santos | G. Schuller | K. Drossos
[1] Surya Ganguli,et al. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks , 2013, ICLR.
[2] Emmanuel Vincent,et al. Multichannel music separation with deep neural networks , 2016, 2016 24th European Signal Processing Conference (EUSIPCO).
[3] Paris Smaragdis,et al. Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[4] Gerald Schuller,et al. A recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation , 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).
[5] Kilian Q. Weinberger,et al. Deep Networks with Stochastic Depth , 2016, ECCV.
[6] Antoine Liutkus,et al. The 2016 Signal Separation Evaluation Campaign , 2017, LVA/ICA.
[7] Antoine Liutkus,et al. Cauchy nonnegative matrix factorization , 2015, 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).
[8] Emilia Gómez,et al. Monoaural Audio Source Separation Using Deep Convolutional Neural Networks , 2017, LVA/ICA.
[9] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[10] Franck Giron,et al. Deep neural network based instrument extraction from music , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[11] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[12] Derry Fitzgerald,et al. ON THE USE OF MASKING FILTERS IN SOUND SOURCE SEPARATION , 2012 .
[13] Michael Elad,et al. Convolutional Neural Networks Analyzed via Convolutional Sparse Coding , 2016, J. Mach. Learn. Res..
[14] Jürgen Schmidhuber,et al. Highway Networks , 2015, ArXiv.
[15] Jonathan Le Roux,et al. Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[16] George Kurian,et al. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation , 2016, ArXiv.
[17] Gerald Schuller,et al. New Sonorities for Jazz Recordings: Separation and Mixing using Deep Neural Networks , 2016 .
[18] Jae Lim,et al. Signal estimation from modified short-time Fourier transform , 1984 .
[19] Antoine Liutkus,et al. Generalized Wiener filtering with fractional power spectrograms , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[20] Naoya Takahashi,et al. Multi-Scale multi-band densenets for audio source separation , 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).
[21] Pascal Vincent,et al. Generalized Denoising Auto-Encoders as Generative Models , 2013, NIPS.
[22] Matthias Mauch,et al. MedleyDB: A Multitrack Dataset for Annotation-Intensive MIR Research , 2014, ISMIR.
[23] Mark D. Plumbley,et al. Single Channel Audio Source Separation using Deep Neural Network Ensembles , 2016 .