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07/27/2023
Complete and separate: Conditional separation with missing target source attribute completion
Recent approaches in source separation leverage semantic information abo...
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05/03/2023
Unsupervised Improvement of Audio-Text Cross-Modal Representations
Recent advances in using language models to obtain cross-modal audio-tex...
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02/23/2023
A Framework for Unified Real-time Personalized and Non-Personalized Speech Enhancement
In this study, we present an approach to train a single speech enhanceme...
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12/08/2022
Framewise WaveGAN: High Speed Adversarial Vocoder in Time Domain with Very Low Computational Complexity
GAN vocoders are currently one of the state-of-the-art methods for build...
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11/22/2022
Latent Iterative Refinement for Modular Source Separation
Traditional source separation approaches train deep neural network model...
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11/11/2022
Optimal Condition Training for Target Source Separation
Recent research has shown remarkable performance in leveraging multiple ...
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09/20/2022
Meta-Learning for Adaptive Filters with Higher-Order Frequency Dependencies
Adaptive filters are applicable to many signal processing tasks includin...
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06/26/2022
Don't Look Up: Ubiquitous Data Exfiltration Pathways in Commercial Spaces
We show that as a side effect of building code requirements, almost all ...
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06/18/2022
Semi-supervised Time Domain Target Speaker Extraction with Attention
In this work, we propose Exformer, a time-domain architecture for target...
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05/15/2022
Learning Representations for New Sound Classes With Continual Self-Supervised Learning
In this paper, we present a self-supervised learning framework for conti...
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05/11/2022
Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model
As deep speech enhancement algorithms have recently demonstrated capabil...
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04/25/2022
Meta-AF: Meta-Learning for Adaptive Filters
Adaptive filtering algorithms are pervasive throughout modern society an...
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04/07/2022
Heterogeneous Target Speech Separation
We introduce a new paradigm for single-channel target source separation ...
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02/23/2022
End-to-end LPCNet: A Neural Vocoder With Fully-Differentiable LPC Estimation
Neural vocoders have recently demonstrated high quality speech synthesis...
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02/22/2022
Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNet
Neural speech synthesis models can synthesize high quality speech but ty...
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02/17/2022
RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing
We present RemixIT, a simple yet effective self-supervised method for tr...
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10/08/2021
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers
Adaptive filtering algorithms are commonplace in signal processing and h...
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05/17/2021
Sound Event Detection with Adaptive Frequency Selection
In this work, we present HIDACT, a novel network architecture for adapti...
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05/11/2021
Differentiable Signal Processing With Black-Box Audio Effects
We present a data-driven approach to automate audio signal processing by...
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05/11/2021
Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data
We propose FEDENHANCE, an unsupervised federated learning (FL) approach ...
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05/06/2021
Point Cloud Audio Processing
Most audio processing pipelines involve transformations that act on fixe...
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03/03/2021
Compute and memory efficient universal sound source separation
Recent progress in audio source separation lead by deep learning has ena...
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11/14/2020
Communication-Cost Aware Microphone Selection For Neural Speech Enhancement with Ad-hoc Microphone Arrays
When performing multi-channel speech enhancement with a wireless acousti...
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10/28/2020
Optimizing Short-Time Fourier Transform Parameters via Gradient Descent
The Short-Time Fourier Transform (STFT) has been a staple of signal proc...
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10/25/2020
Unified Gradient Reweighting for Model Biasing with Applications to Source Separation
Recent deep learning approaches have shown great improvement in audio so...
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07/14/2020
Sudo rm -rf: Efficient Networks for Universal Audio Source Separation
In this paper, we present an efficient neural network for end-to-end gen...
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06/18/2020
Self-supervised Learning for Speech Enhancement
Supervised learning for single-channel speech enhancement requires caref...
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10/31/2019
End-to-end Non-Negative Autoencoders for Sound Source Separation
Discriminative models for source separation have recently been shown to ...
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10/22/2019
Two-Step Sound Source Separation: Training on Learned Latent Targets
In this paper, we propose a two-step training procedure for source separ...
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06/03/2019
Continual Learning of New Sound Classes using Generative Replay
Continual learning consists in incrementally training a model on a seque...
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05/03/2019
Deep Tensor Factorization for Spatially-Aware Scene Decomposition
We propose a completely unsupervised method to understand audio scenes o...
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05/01/2019
A Style Transfer Approach to Source Separation
Training neural networks for source separation involves presenting a mix...
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11/05/2018
Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures using Spatial Information
We present a monophonic source separation system that is trained by only...
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11/03/2018
Multi-View Networks For Multi-Channel Audio Classification
In this paper we introduce the idea of multi-view networks for sound cla...
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10/05/2018
End-to-end Networks for Supervised Single-channel Speech Separation
The performance of single channel source separation algorithms has impro...
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06/13/2018
Multi-View Networks for Denoising of Arbitrary Numbers of Channels
We propose a set of denoising neural networks capable of operating on an...
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06/01/2018
Performance Based Cost Functions for End-to-End Speech Separation
Recent neural network strategies for source separation attempt to model ...
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03/12/2018
Learning the Base Distribution in Implicit Generative Models
Popular generative model learning methods such as Generative Adversarial...
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10/30/2017
Generative Adversarial Source Separation
Generative source separation methods such as non-negative matrix factori...
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09/20/2017
Neural Network Alternatives to Convolutive Audio Models for Source Separation
Convolutive Non-Negative Matrix Factorization model factorizes a given a...
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09/15/2017
Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization
Reducing the interference noise in a monaural noisy speech signal has be...
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08/31/2017
A State-Space Approach to Dynamic Nonnegative Matrix Factorization
Nonnegative matrix factorization (NMF) has been actively investigated an...
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04/18/2017
Diagonal RNNs in Symbolic Music Modeling
In this paper, we propose a new Recurrent Neural Network (RNN) architect...
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11/18/2016
NoiseOut: A Simple Way to Prune Neural Networks
Neural networks are usually over-parameterized with significant redundan...
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01/22/2016
Bitwise Neural Networks
Based on the assumption that there exists a neural network that efficien...
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08/18/2015
A Dictionary Learning Approach for Factorial Gaussian Models
In this paper, we develop a parameter estimation method for factorially ...
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02/13/2015
