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08/14/2023
The Sound Demixing Challenge 2023 x2013 Cinematic Demixing Track
This paper summarizes the cinematic demixing (CDX) track of the Sound De...
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08/14/2023
The Sound Demixing Challenge 2023 x2013 Music Demixing Track
This paper summarizes the music demixing (MDX) track of the Sound Demixi...
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05/13/2023
The Whole Is Greater than the Sum of Its Parts: Improving DNN-based Music Source Separation
This paper presents the crossing scheme (X-scheme) for improving the per...
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03/07/2023
Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation
Self-supervised learning (SSL) has recently shown remarkable results in ...
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12/13/2022
A Statistical Model for Predicting Generalization in Few-Shot Classification
The estimation of the generalization error of classifiers often relies o...
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11/04/2022
Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects
We propose an end-to-end music mixing style transfer system that convert...
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08/24/2022
Automatic music mixing with deep learning and out-of-domain data
Music mixing traditionally involves recording instruments in the form of...
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03/21/2022
Differentiable Duration Modeling for End-to-End Text-to-Speech
Parallel text-to-speech (TTS) models have recently enabled fast and high...
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02/03/2022
Removing Distortion Effects in Music Using Deep Neural Networks
Audio effects are an essential element in the context of music productio...
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10/13/2021
Music Source Separation with Deep Equilibrium Models
While deep neural network-based music source separation (MSS) is very ef...
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10/08/2021
TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant Sound Source Separation
In recent years, many deep learning techniques for single-channel sound ...
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08/31/2021
Music Demixing Challenge 2021
Music source separation has been intensively studied in the last decade ...
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05/26/2021
Training Speech Enhancement Systems with Noisy Speech Datasets
Recently, deep neural network (DNN)-based speech enhancement (SE) system...
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03/24/2021
DNN Quantization with Attention
Low-bit quantization of network weights and activations can drastically ...
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10/08/2020
All for One and One for All: Improving Music Separation by Bridging Networks
This paper proposes several improvements for music separation with deep ...
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05/23/2020
Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks
Recently, deep neural networks (DNNs) have been successfully used for sp...
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05/15/2020
Unsupervised Cross-Domain Speech-to-Speech Conversion with Time-Frequency Consistency
In recent years generative adversarial network (GAN) based models have b...
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11/05/2019
Closing the Training/Inference Gap for Deep Attractor Networks
This paper improves the deep attractor network (DANet) approach by closi...
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05/27/2019
Differentiable Quantization of Deep Neural Networks
We propose differentiable quantization (DQ) for efficient deep neural ne...
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11/13/2018
Iteratively Training Look-Up Tables for Network Quantization
Operating deep neural networks on devices with limited resources require...
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07/07/2018
