138 citations · 313 across the 11 of their papers we have counts for
5 papers · 1 filter
Permutation Invariant Recurrent Neural Networks for Sound Source Tracking Applications
David Diaz-Guerra, Archontis Politis, Antonio Miguel +2
Many multi-source localization and tracking models based on neural networks use one or several recurrent layers at their final stages to track the movement of the sources. Conventi…
Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs
David Diaz-Guerra, Antonio Miguel, Jose R. Beltran
In this paper, we present a new model for Direction of Arrival (DOA) estimation of sound sources based on an Icosahedral Convolutional Neural Network (CNN) applied over SRP-PHAT po…
Music Boundary Detection using Convolutional Neural Networks: A comparative analysis of combined input features
Carlos Hernandez-Olivan, Jose R. Beltran, David Diaz-Guerra
The analysis of the structure of musical pieces is a task that remains a challenge for Artificial Intelligence, especially in the field of Deep Learning. It requires prior identifi…
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…
gpuRIR: A Python Library for Room Impulse Response Simulation with GPU Acceleration
David Diaz-Guerra, Antonio Miguel, Jose R. Beltran
The Image Source Method (ISM) is one of the most employed techniques to calculate acoustic Room Impulse Responses (RIRs), however, its computational complexity grows fast with the…