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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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10/23/2022
Quantitative Evidence on Overlooked Aspects of Enrollment Speaker Embeddings for Target Speaker Separation
Single channel target speaker separation (TSS) aims at extracting a spea...
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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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09/30/2021
Assessing Algorithmic Biases for Musical Version Identification
Version identification (VI) systems now offer accurate and scalable solu...
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09/06/2021
Audio-based Musical Version Identification: Elements and Challenges
In this article, we aim to provide a review of the key ideas and approac...
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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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04/09/2021
Heaps' Law and Vocabulary Richness in the History of Classical Music Harmony
Music is a fundamental human construct, and harmony provides the buildin...
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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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01/06/2021
Investigating the efficacy of music version retrieval systems for setlist identification
The setlist identification (SLI) task addresses a music recognition use ...
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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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10/07/2020
Less is more: Faster and better music version identification with embedding distillation
Version identification systems aim to detect different renditions of the...
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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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10/28/2019
Accurate and Scalable Version Identification Using Musically-Motivated Embeddings
The version identification (VI) task deals with the automatic detection ...
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09/25/2019
Input complexity and out-of-distribution detection with likelihood-based generative models
Likelihood-based generative models are a promising resource to detect ou...
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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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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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10/24/2018
Training neural audio classifiers with few data
We investigate supervised learning strategies that improve the training ...
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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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06/07/2018
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour
This document contains the outcome of the first Human behaviour and mach...
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06/07/2018
There goes Wally: Anonymously sharing your location gives you away
With current technology, a number of entities have access to user mobili...
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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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01/04/2018
Overcoming catastrophic forgetting with hard attention to the task
Catastrophic forgetting occurs when a neural network loses the informati...
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12/19/2017
Continual Prediction of Notification Attendance with Classical and Deep Network Approaches
We investigate to what extent mobile use patterns can predict -- at the ...
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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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09/29/2017
MobInsight: A Framework Using Semantic Neighborhood Features for Localized Interpretations of Urban Mobility
Collective urban mobility embodies the residents' local insights on the ...
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06/13/2017
Getting deep recommenders fit: Bloom embeddings for sparse binary input/output networks
Recommendation algorithms that incorporate techniques from deep learning...
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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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11/16/2015
A genetic algorithm to discover flexible motifs with support
Finding repeated patterns or motifs in a time series is an important uns...
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01/29/2015
Particle swarm optimization for time series motif discovery
Efficiently finding similar segments or motifs in time series data is a ...
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01/16/2014
An Empirical Evaluation of Similarity Measures for Time Series Classification
Time series are ubiquitous, and a measure to assess their similarity is ...
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08/29/2011
