Pedro Vera-Candeas

Pedro Vera-Candeas

Universidad de Jaén

H-index: 22

Europe-Spain

About Pedro Vera-Candeas

Pedro Vera-Candeas, With an exceptional h-index of 22 and a recent h-index of 12 (since 2020), a distinguished researcher at Universidad de Jaén, specializes in the field of Audio processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Pre-trained Spatial Priors on Multichannel NMF for Music Source Separation

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

The music demixing machine: toward real-time remixing of classical music

AUDIO-TO-SCORE ALIGNMENT SYSTEM TO SYNCHRONIZE MEDIEVAL CHANT RECORDINGS

Ambisonics domain singing voice separation combining deep neural network and direction aware multichannel NMF

A coherence-based clustering method for multichannel speech enhancement in wireless acoustic sensor networks

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

Pedro Vera-Candeas Information

University

Position

Catedrático de Universidad del Departamento de Ingeniería de Telecomunicación

Citations(all)

1410

Citations(since 2020)

473

Cited By

1144

hIndex(all)

22

hIndex(since 2020)

12

i10Index(all)

44

i10Index(since 2020)

20

Email

University Profile Page

Universidad de Jaén

Google Scholar

View Google Scholar Profile

Pedro Vera-Candeas Skills & Research Interests

Audio processing

Top articles of Pedro Vera-Candeas

Title

Journal

Author(s)

Publication Date

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

Applied Acoustics

Mirco Pezzoli

Julio Carabias-Orti

Pedro Vera-Candeas

Fabio Antonacci

Augusto Sarti

2024/3/15

Pre-trained Spatial Priors on Multichannel NMF for Music Source Separation

arXiv preprint arXiv:2310.05821

Pablo Cabanas-Molero

Antonio J Munoz-Montoro

Julio Carabias-Orti

Pedro Vera-Candeas

2023/10/9

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

Journal of Biomedical Informatics

J Torre-Cruz

F Canadas-Quesada

N Ruiz-Reyes

P Vera-Candeas

S Garcia-Galan

...

2023/9/1

The music demixing machine: toward real-time remixing of classical music

The Journal of Supercomputing

Pablo Cabañas-Molero

Antonio J Muñoz-Montoro

Pedro Vera-Candeas

José Ranilla

2023/9

AUDIO-TO-SCORE ALIGNMENT SYSTEM TO SYNCHRONIZE MEDIEVAL CHANT RECORDINGS

Pablo Cabañas Molero

Raquel Cortina Parajón

Jaime García Martínez

Elías F Combarro Álvarez

Pedro Vera Candeas

2023

Ambisonics domain singing voice separation combining deep neural network and direction aware multichannel NMF

Antonio J Muñoz-Montoro

Julio J Carabias-Orti

Pedro Vera-Candeas

2021/10/6

A coherence-based clustering method for multichannel speech enhancement in wireless acoustic sensor networks

Antonio J Muñoz-Montoro

Pedro Vera-Candeas

Mads Græsbøll Christensen

2021/8/23

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

Expert systems with applications

Juan De La Torre Cruz

Francisco Jesús Cañadas Quesada

Julio José Carabias Orti

Pedro Vera Candeas

Nicolás Ruiz Reyes

2020/6/1

Wheezing sound separation based on informed inter-segment non-negative matrix partial co-factorization

Sensors

Juan De La Torre Cruz

Francisco Jesus Canadas Quesada

Nicolas Ruiz Reyes

Pedro Vera Candeas

Julio Jose Carabias Orti

2020/5/8

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

Applied Acoustics

J Torre-Cruz

F Canadas-Quesada

S García-Galán

N Ruiz-Reyes

P Vera-Candeas

...

2020/4/1

See List of Professors in Pedro Vera-Candeas University(Universidad de Jaén)