Julio José Carabias Orti

Associate Professor

Universidad de Jaén

Spain

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About

Julio José Carabias Orti is an Associate Professor at Universidad de Jaén in Spain. His research focuses on sound source separation, particularly utilizing techniques such as non-negative matrix factorization and convolutional neural networks. Recent contributions include advancements in snore detection, crackle detection, and the classification of heart diseases through innovative signal processing methods.

Articles (16)

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2024

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2023

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2023

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (8)

Francisco Jesus Canadas Quesada

Profesor Contratado Doctor

Universidad de Jaén

SPAIN

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Jose Ranilla

Professor

University of Oviedo

SPAIN

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Antonio Jesús Muñoz-Montoro

Profesor Ayudante Doctor

University of Malaga

SPAIN

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Maximo Cobos

Full Professor

University of Valencia

SPAIN

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Damian Martinez-Muñoz

Professor

Universidad de Jaén

SPAIN

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Fabio Antonacci

assistant professor

Politecnico di Milano

ITALY

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Pedro Vera-Candeas

Assistant Professor

Universidad de Jaén

SPAIN

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Sebastián García Galán

Full Professor (Catedrático de Universidad)

SPAIN

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Julio José Carabias Orti

Research Interests

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About

Articles (16)

Improving snore detection under limited dataset through harmonic/percussive source separation and convolutional neural networks

Spherical-harmonics-based sound field decomposition and multichannel NMF for sound source separation

Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals

Cochleogram-based adventitious sounds classification using convolutional neural networks

Efficient parallel kernel based on Cholesky decomposition to accelerate multichannel nonnegative matrix factorization

Automatic Robust Crackle Detection and Localization Approach Using AR-Based Spectral Estimation and Support Vector Machine

Multichannel Blind Music Source Separation Using Directivity-Aware MNMF with Harmonicity Constraints

Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization

An incremental algorithm based on multichannel non-negative matrix partial co-factorization for ambient denoising in auscultation

Parallel multichannel blind source separation using a spatial covariance model and nonnegative matrix factorization

Parallel multichannel music source separation system

Parallel multichannel music source separation system

Ray-Space-Based Multichannel Nonnegative Matrix Factorization for Audio Source Separation

A constrained tonal semi-supervised non-negative matrix factorization to classify presence/absence of wheezing in respiratory sounds

A constrained tonal semi-supervised non-negative matrix factorization to classify presence/absence of wheezing in respiratory sounds

Combining a recursive approach via non-negative matrix factorization and Gini index sparsity to improve reliable detection of wheezing sounds

Collaborators (8)

Francisco Jesus Canadas Quesada

Jose Ranilla

Antonio Jesús Muñoz-Montoro

Maximo Cobos

Damian Martinez-Muñoz

Fabio Antonacci

Pedro Vera-Candeas

Sebastián García Galán

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