Stefan Uhlich

CoRR, 2023

The Sound Demixing Challenge 2023 - Music Demixing Track.

[BibT_eX]

[DOI]

CoRR, 2023

The Whole Is Greater than the Sum of Its Parts: Improving DNN-based Music Source Separation.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation.

[BibT_eX]

[DOI]

Bac Nguyen

Proceedings of the IEEE International Conference on Acoustics, 2023

Autotts: End-to-End Text-to-Speech Synthesis Through Differentiable Duration Modeling.

[BibT_eX]

[DOI]

Bac Nguyen

Proceedings of the IEEE International Conference on Acoustics, 2023

Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects.

[BibT_eX]

[DOI]

Junghyun Koo

Proceedings of the IEEE International Conference on Acoustics, 2023

A Statistical Model for Predicting Generalization in Few-Shot Classification.

[BibT_eX]

[DOI]

Ghouthi Boukli Hacene

Javier Alonso García

Proceedings of the 31st European Signal Processing Conference, 2023

2022

A Statistical Model for Predicting Generalization in Few-Shot Classification.

[BibT_eX]

[DOI]

Ghouthi Boukli Hacene

Javier Alonso García

CoRR, 2022

Differentiable Duration Modeling for End-to-End Text-to-Speech.

[BibT_eX]

[DOI]

Bac Nguyen Cong

CoRR, 2022

Removing Distortion Effects in Music Using Deep Neural Networks.

[BibT_eX]

[DOI]

Johannes Imort

Giorgio Fabbro

Yuichiro Koyama

CoRR, 2022

Automatic music mixing with deep learning and out-of-domain data.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Distortion Audio Effects: Learning How to Recover the Clean Signal.

[BibT_eX]

[DOI]

Johannes Imort

Giorgio Fabbro

Yuichiro Koyama

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant Sound Source Separation.

[BibT_eX]

[DOI]

Ali Aroudi

Marc Ferras Font

Proceedings of the Interspeech 2022, 2022

Music Source Separation With Deep Equilibrium Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Music Demixing Challenge at ISMIR 2021.

[BibT_eX]

[DOI]

CoRR, 2021

Training Speech Enhancement Systems with Noisy Speech Datasets.

[BibT_eX]

[DOI]

CoRR, 2021

DNN Quantization with Attention.

[BibT_eX]

[DOI]

Ghouthi Boukli Hacene

Lukas Mauch

CoRR, 2021

All For One And One For All: Improving Music Separation By Bridging Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Multichannel Non-Negative Matrix Factorization Using Banded Spatial Covariance Matrices in Wavenumber Domain.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Iteratively Training Look-Up Tables for Network Quantization.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Cross-Domain Speech-to-Speech Conversion with Time-Frequency Consistency.

[BibT_eX]

[DOI]

CoRR, 2020

Mixed Precision DNNs: All you need is a good parametrization.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Open-Unmix - A Reference Implementation for Music Source Separation.

[BibT_eX]

[DOI]

J. Open Source Softw., 2019

Closing the Training/Inference Gap for Deep Attractor Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Differentiable Quantization of Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Iteratively Training Look-Up Tables for Network Quantization.

[BibT_eX]

[DOI]

CoRR, 2018

Improving DNN-based Music Source Separation using Phase Features.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Improving music source separation based on deep neural networks through data augmentation and network blending.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2015

Bayes Risk Reduction of Estimators Using Artificial Observation Noise.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Deep neural network based instrument extraction from music.

[BibT_eX]

[DOI]

Franck Giron

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

NMF-based blind source separation using a linear predictive coding error clustering criterion.

[BibT_eX]

[DOI]

Xin Guo

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Computing Jacobian and Hessian of Estimators and Their Application to Risk Approximation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2014

2012

Parameter estimation with additional information.

[BibT_eX]

[DOI]

PhD thesis, 2012

Bayesian Estimation for Nonstandard Loss Functions Using a Parametric Family of Estimators.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

2011

Recursive estimation of room impulse responses with energy conservation constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Efficient recursive estimators for a linear, time-varying Gaussian model with general constraints.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

A parametric family of Bayesian estimators for non-standard loss functions.

[BibT_eX]

[DOI]

Proceedings of the 18th European Signal Processing Conference, 2010

2009

MMSE estimation in a linear signal model with ellipsoidal constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Robustification and optimization of a Kalman filter with measurement loss using linear precoding.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2009

2008

A generalized optimal correlating transform for multiple description coding and its theoretical analysis.

[BibT_eX]

[DOI]