19 citations · 42 across the 6 of their papers we have counts for
10 papers
Generalizing AUC Optimization to Multiclass Classification for Audio Segmentation With Limited Training Data
Pablo Gimeno, Victoria Mingote, Alfonso Ortega +2
Area under the ROC curve (AUC) optimisation techniques developed for neural networks have recently demonstrated their capabilities in different audio and speech related tasks. Howe…
Robust Sound Source Tracking Using SRP-PHAT and 3D Convolutional Neural Networks
David Diaz-Guerra, Antonio Miguel, Jose R. Beltran
In this paper, we present a new single sound source DOA estimation and tracking system based on the well-known SRP-PHAT algorithm and a three-dimensional Convolutional Neural Netwo…
Speech Enhancement with Wide Residual Networks in Reverberant Environments
Jorge Llombart, Dayana Ribas, Antonio Miguel +3
This paper proposes a speech enhancement method which exploits the high potential of residual connections in a Wide Residual Network architecture. This is supported on single dimen…
Progressive Speech Enhancement with Residual Connections
Jorge Llombart, Dayana Ribas, Antonio Miguel +3
This paper studies the Speech Enhancement based on Deep Neural Networks. The proposed architecture gradually follows the signal transformation during enhancement by means of a visu…
Deep Speech Enhancement for Reverberated and Noisy Signals using Wide Residual Networks
Dayana Ribas, Jorge Llombart, Antonio Miguel +1
This paper proposes a deep speech enhancement method which exploits the high potential of residual connections in a wide neural network architecture, a topology known as Wide Resid…
Optimization of the Area Under the ROC Curve using Neural Network Supervectors for Text-Dependent Speaker Verification
Victoria Mingote, Antonio Miguel, Alfonso Ortega +1
This paper explores two techniques to improve the performance of text-dependent speaker verification systems based on deep neural networks. Firstly, we propose a general alignment…