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06/26/2023
Mono-to-stereo through parametric stereo generation
Generating a stereophonic presentation from a monophonic audio signal is...
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06/16/2023
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models
Recent work has studied text-to-audio synthesis using large amounts of p...
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03/09/2023
Towards Robust Image-in-Audio Deep Steganography
The field of steganography has experienced a surge of interest due to th...
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10/26/2022
Full-band General Audio Synthesis with Score-based Diffusion
Recent works have shown the capability of deep generative models to tack...
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10/21/2022
Adversarial Permutation Invariant Training for Universal Sound Separation
Universal sound separation consists of separating mixes with arbitrary s...
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07/15/2022
PodcastMix: A dataset for separating music and speech in podcasts
We introduce PodcastMix, a dataset formalizing the task of separating ba...
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06/07/2022
Universal Speech Enhancement with Score-based Diffusion
Removing background noise from speech audio has been the subject of cons...
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02/16/2022
On loss functions and evaluation metrics for music source separation
We investigate which loss functions provide better separations via bench...
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11/23/2021
Upsampling layers for music source separation
Upsampling artifacts are caused by problematic upsampling layers and due...
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07/07/2021
Adversarial Auto-Encoding for Packet Loss Concealment
Communication technologies like voice over IP operate under constrained ...
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06/17/2021
PixInWav: Residual Steganography for Hiding Pixels in Audio
Steganography comprises the mechanics of hiding data in a host media tha...
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04/08/2021
On tuning consistent annealed sampling for denoising score matching
Score-based generative models provide state-of-the-art quality for image...
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02/11/2021
Multichannel-based learning for audio object extraction
The current paradigm for creating and deploying immersive audio content ...
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02/09/2021
On permutation invariant training for speech source separation
We study permutation invariant training (PIT), which targets at the perm...
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10/27/2020
Upsampling artifacts in neural audio synthesis
A number of recent advances in audio synthesis rely on neural upsamplers...
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10/20/2020
Automatic multitrack mixing with a differentiable mixing console of neural audio effects
Applications of deep learning to automatic multitrack mixing are largely...
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10/01/2020
FSD50K: an Open Dataset of Human-Labeled Sound Events
Most existing datasets for sound event recognition (SER) are relatively ...
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10/01/2020
SESQA: semi-supervised learning for speech quality assessment
Automatic speech quality assessment is an important, transversal task wh...
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03/16/2020
TensorFlow Audio Models in Essentia
Essentia is a reference open-source C++/Python library for audio and mus...
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02/20/2020
An empirical study of Conv-TasNet
Conv-TasNet is a recently proposed waveform-based deep neural network th...
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09/14/2019
musicnn: Pre-trained convolutional neural networks for music audio tagging
Pronounced as "musician", the musicnn library contains a set of pre-trai...
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10/29/2018
End-to-end music source separation: is it possible in the waveform domain?
Most of the currently successful source separation techniques use the ma...
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10/24/2018
Training neural audio classifiers with few data
We investigate supervised learning strategies that improve the training ...
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07/26/2018
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline
This paper describes Task 2 of the DCASE 2018 Challenge, titled "General...
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05/01/2018
Randomly weighted CNNs for (music) audio classification
The computer vision literature shows that randomly weighted neural netwo...
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11/07/2017
End-to-end learning for music audio tagging at scale
The lack of data tends to limit the outcomes of deep learning research -...
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07/12/2017
Audio to score matching by combining phonetic and duration information
We approach the singing phrase audio to score matching problem by using ...
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07/12/2017