Máster Universitario en Ingeniería de Telecomunicación

URI permanente para esta colecciónhttps://hdl.handle.net/10953.1/5203

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Examinando Máster Universitario en Ingeniería de Telecomunicación por Autor "CAÑADAS-QUESADA, FRANCISCO J."

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  • Miniatura
    Ítem
    Denoising applied to sound event detection using weighting non-negative matrix factorization
    (2021-01-22) Romero de los Ríos, Andrés; Cañadas Quesada, Francisco Jesús; Martínez Muñoz, Damián; Universidad de Jaén. Ingeniería de Telecomunicación
    Some sound events (screams, gunshots ...) are often associated with situations of danger and violence. Nevertheless, the noise interference that appears with them decreases the detection performance to a great extent. Most existing methods that employ a trained noise classifier have the problem that they cannot provide an optimal result when such noise does not resemble the trained noise or is highly variable in time. Therefore, the task of acoustic noise reduction in this acoustic scenario remains a great challenge for sound event detec-tion. For this Master Thesis, we propose the design and development of a system imple-mented in MATLAB capable of reducing noise for the detection of sound events using a Weighted Non-Negative Matrix factorization (WNMF) approach.
  • Miniatura
    Ítem
    Wheezing sound source separation applied to single shannel respiratory audio mixtures
    (2021-01-22) Jeeru, Sindhusha; Cañadas Quesada, Francisco Jesús; Torre Cruz, Juan de la; Universidad de Jaén. Ingeniería de Telecomunicación
    The Master thesis study wheezing sound source separation applied to single channel respiratory audio mixture is a bio-medical signal processing technique to remove respiratory sounds from wheezing sounds and provide the best audio quality wheezing signals. Our thesis study is helpful for physicians to examine the patients who are suffering from pulmonary disorders because wheezing is considered as the important symptom that has to be examined by the physicians to make early diagnosis
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