Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Antonio J. Muñoz-Montoro"'
Autor:
Antonio J. Muñoz-Montoro, Pablo Revuelta-Sanz, Damian Martínez-Muñoz, Juan Torre-Cruz, José Ranilla
Publikováno v:
WOS:000832812300002
In this paper, a parallel computing method is proposed to perform the background denoising and wheezing detection from a multi-channel recording captured during the auscultation process. The proposed system is based on a non-negative matrix factoriza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffaee2d5af541e4853e0fb4922263f79
https://doi.org/10.1007/s11227-022-04706-x
https://doi.org/10.1007/s11227-022-04706-x
Publikováno v:
The Journal of Supercomputing.
Classical music, unlike popular music, is usually recorded live with close microphone techniques. For this reason, isolated tracks are not available to create the final mixture/stream, and so the mixing process requires greater effort. Source separat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3726583c5cb6c79ad46c3a3883d14b2
https://doi.org/10.1007/s11227-023-05192-5
https://doi.org/10.1007/s11227-023-05192-5
Multichannel Source Separation has been a popular topic, and recently proposed methods based on the local Gaussian model (LGM) have provided promising result despite its high computational cost when several sensors are used. The main reason being due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73dc57f64b2e5f33d799d3685a4f9c74
https://doi.org/10.21203/rs.3.rs-2152303/v1
https://doi.org/10.21203/rs.3.rs-2152303/v1
Publikováno v:
2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d72b565e9f3335e27bd39cb89b992b5
https://doi.org/10.1109/mmsp53017.2021.9733494
https://doi.org/10.1109/mmsp53017.2021.9733494
Autor:
Noelia Garcia-Buendia, Antonio J. Munoz-Montoro, Raquel Cortina, Juan M. Maqueira-Marin, Jose Moyano-Fuentes
Publikováno v:
IEEE Access, Vol 12, Pp 106107-106120 (2024)
Quantum Computing (QC) is a rapidly evolving research field that has garnered significant attention due to its potential to revolutionize various domains such as cryptography, optimization, and machine learning. In this article, we conduct an extensi
Externí odkaz:
https://doaj.org/article/e0af1da8b5ca45e2a4e51c5127d8da25
Multichannel Blind Music Source Separation Using Directivity-Aware MNMF With Harmonicity Constraints
Autor:
Antonio J. Munoz-Montoro, Julio J. Carabias-Orti, Pablo Cabanas-Molero, Francisco J. Canadas-Quesada, Nicolas Ruiz-Reyes
Publikováno v:
IEEE Access, Vol 10, Pp 17781-17795 (2022)
In this paper we present a harmonic constrained Multichannel Non-Negative Matrix Factorization (MNMF) method for the task of blind music source separation. In this model, the mixing filter encodes the spatial information in terms of magnitude and pha
Externí odkaz:
https://doaj.org/article/9a7c976a89304ef688a5656e7e5fb17a