23 citations · 57 across the 10 of their papers we have counts for
10 papers
An objective evaluation of Hearing Aids and DNN-based speech enhancement in complex acoustic scenes
Enric Gusó, Joanna Luberadzka, Martí Baig +2
We investigate the objective performance of five high-end commercially available Hearing Aid (HA) devices compared to DNN-based speech enhancement algorithms in complex acoustic en…
Combining piano performance dimensions for score difficulty classification
Pedro Ramoneda, Dasaem Jeong, Vsevolod Eremenko +3
Predicting the difficulty of playing a musical score is essential for structuring and exploring score collections. Despite its importance for music education, the automatic difficu…
Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity
Pablo Alonso-Jiménez, Xavier Favory, Hadrien Foroughmand +4
In this work, we investigate an approach that relies on contrastive learning and music metadata as a weak source of supervision to train music representation models. Recent studies…
Data leakage in cross-modal retrieval training: A case study
Benno Weck, Xavier Serra
The recent progress in text-based audio retrieval was largely propelled by the release of suitable datasets. Since the manual creation of such datasets is a laborious task, obtaini…
FlowGrad: Using Motion for Visual Sound Source Localization
Rajsuryan Singh, Pablo Zinemanas, Xavier Serra +2
Most recent work in visual sound source localization relies on semantic audio-visual representations learned in a self-supervised manner, and by design excludes temporal informatio…
Dynamic Voltage Stiffness Control Technique for a Virtual Oscillator based Grid-forming Controller
Ritwik Ghosh, Narsa Reddy Tummuru, Bharat Singh Rajpuohit
Virtual oscillator control is the latest control technique for grid-forming inverters. Virtual Oscillator based Controllers (VOCs) provide all the steady-state droop functionalitie…
Multilabel Prototype Generation for Data Reduction in k-Nearest Neighbour classification
Jose J. Valero-Mas, Antonio Javier Gallego, Pablo Alonso-Jiménez +1
Prototype Generation (PG) methods are typically considered for improving the efficiency of the -Nearest Neighbour (NN) classifier when tackling high-size corpora. Such approa…
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks
Eduardo Fonseca, Andres Ferraro, Xavier Serra
Recent studies have put into question the commonly assumed shift invariance property of convolutional networks, showing that small shifts in the input can affect the output predict…
Domain Conditional Predictors for Domain Adaptation
Joao Monteiro, Xavier Gibert, Jianqiao Feng +2
Learning guarantees often rely on assumptions of i.i.d. data, which will likely be violated in practice once predictors are deployed to perform real-world tasks. Domain adaptation…
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking
Eduardo Fonseca, Shawn Hershey, Manoj Plakal +4
The study of label noise in sound event recognition has recently gained attention with the advent of larger and noisier datasets. This work addresses the problem of missing labels,…