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08/18/2023
V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models
Building artificial intelligence (AI) systems on top of a set of foundat...
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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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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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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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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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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
SESQA: semi-supervised learning for speech quality assessment
Automatic speech quality assessment is an important, transversal task wh...
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01/25/2020
Multi-task self-supervised learning for Robust Speech Recognition
Despite the growing interest in unsupervised learning, extracting meanin...
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11/15/2019
Sample Drop Detection for Distant-speech Recognition with Asynchronous Devices Distributed in Space
In many applications of multi-microphone multi-device processing, the sy...
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06/03/2019
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion
End-to-end models for raw audio generation are a challenge, specially if...
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06/03/2019
Problem-Agnostic Speech Embeddings for Multi-Speaker Text-to-Speech with SampleRNN
Text-to-speech (TTS) acoustic models map linguistic features into an aco...
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04/06/2019
Towards Generalized Speech Enhancement with Generative Adversarial Networks
The speech enhancement task usually consists of removing additive noise ...
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04/06/2019
Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks
Learning good representations without supervision is still an open issue...
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03/25/2019
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
Speech is a rich biometric signal that contains information about the id...
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08/31/2018
Whispered-to-voiced Alaryngeal Speech Conversion with Generative Adversarial Networks
Most methods of voice restoration for patients suffering from aphonia ei...
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08/31/2018
Self-Attention Linguistic-Acoustic Decoder
The conversion from text to speech relies on the accurate mapping from l...
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05/10/2018
Towards a universal neural network encoder for time series
We study the use of a time series encoder to learn representations that ...
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12/18/2017
Language and Noise Transfer in Speech Enhancement Generative Adversarial Network
Speech enhancement deep learning systems usually require large amounts o...
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03/28/2017
SEGAN: Speech Enhancement Generative Adversarial Network
Current speech enhancement techniques operate on the spectral domain and...
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08/29/2016
