138 citations · 313 across the 11 of their papers we have counts for
11 papers
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…
Symbolic Music Structure Analysis with Graph Representations and Changepoint Detection Methods
Carlos Hernandez-Olivan, Sonia Rubio Llamas, Jose R. Beltran
Music Structure Analysis is an open research task in Music Information Retrieval (MIR). In the past, there have been several works that attempt to segment music into the audio and…
A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives
Carlos Hernandez-Olivan, Javier Hernandez-Olivan, Jose R. Beltran
Music is one of the Gardner's intelligences in his theory of multiple intelligences. How humans perceive and understand music is still being studied and is crucial to develop artif…
musicaiz: A Python Library for Symbolic Music Generation, Analysis and Visualization
Carlos Hernandez-Olivan, Jose R. Beltran
In this article, we present musicaiz, an object-oriented library for analyzing, generating and evaluating symbolic music. The submodules of the package allow the user to create sym…
Subjective Evaluation of Deep Learning Models for Symbolic Music Composition
Carlos Hernandez-Olivan, Jorge Abadias Puyuelo, Jose R. Beltran
Deep learning models are typically evaluated to measure and compare their performance on a given task. The metrics that are commonly used to evaluate these models are standard metr…
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 Composition with Deep Learning: A Review
Carlos Hernandez-Olivan, Jose R. Beltran
Generating a complex work of art such as a musical composition requires exhibiting true creativity that depends on a variety of factors that are related to the hierarchy of musical…
Timbre Classification of Musical Instruments with a Deep Learning Multi-Head Attention-Based Model
Carlos Hernandez-Olivan, Jose R. Beltran
The aim of this work is to define a model based on deep learning that is able to identify different instrument timbres with as few parameters as possible. For this purpose, we have…
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…