Listar por autor "Tardón-García, Lorenzo José"
Mostrando ítems 1-20 de 41
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A database and digital signal processing framework for the perceptual analysis of voice quality
Bermúdez-de-Alvear, Rosa María
; Corral García, Jesús; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; Fernández-Contreras, Elena; Rando-Márquez, Sara; Martínez-Arquero, A. Ginés; Barbancho-Pérez, Isabel[et al.] (2015-09-09)
Introduction. Clinical assessment of dysphonia relies on perceptual as much as instrumental methods of analysis [1]. The perceptual auditory analysis is potentially subject to several internal and external sources of bias ... -
Android app for automatic music composition
Nieto, Marina S.; Barbancho-Pérez, Ana María; Barbancho-Pérez, Isabel; Tardón-García, Lorenzo José (2018-10-01)
In this contribution, we present an Android App that generates music automatically replicating a specific contemporary genre, specifically rock music. The composition system is based on the analysis of a set of songs of ... -
Android App for Recreating old Recording Sound Effects for Voice
García-Bartolomé, José Ignacio; Barbancho-Pérez, Ana María; Barbancho-Pérez, Isabel; Tardón-García, Lorenzo José (International Society for Music Information Retrieval (ISMIR), 2019)
An Android App for recreating old-recording sound effects for voice is presented. The old-recording sound effects recreated are: Vinyl effect, Cylinder effect and Tape effect. Also, two nonlinear audio effects: Tube effect ... -
Aprendizaje y divulgación científica de los sistemas de grabación y reproducción sonora a través de los cuentos.
Barbancho-Pérez, Ana María; Barbancho-Pérez, Isabel; Peinado-Domínguez, Alberto; Tardón-García, Lorenzo José (2024)
In this paper, the pilot experience of scientific dissemination based on the writing of stories by students of the ETSI Telecommunications, carried out in the academic year 2021-22, is presented. The aim of this experience ... -
Automatic Melody Composition Inspired by Short Melodies Using a Probabilistic Model and Harmonic Rules
Tardón-García, Lorenzo José; Barbancho-Pérez, Isabel; Barbancho-Pérez, Ana María; Roig, Carles; Tzanetakis, George (International Society for Music Information Retrieval (ISMIR), 2019-11)
This demo shows how automatic melody composition of melodies that follow the style of a certain singleshort melodic excerpt can be achieved in such a way that the sample excerpt can be considered an inspirationalpiece of ... -
Automatic Staff Reconstruction within SIMSSA Project.
Tardón-García, Lorenzo José; Barbancho-Pérez, Isabel; Barbancho-Pérez, Ana María; Fujinaga, Ichiro (MDPI, 2020-04-03)
The automatic analysis of scores has been a research topic of interest for the last few decades and still is since music databases that include musical scores are currently being created to make musical content available ... -
Bi-LSTM Neural Network for EEG-based detection of musical characteristics
Ariza Cervera, Isaac; Guillén, Sergio; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; Barbancho-Pérez, Isabel (2023)
Electroencephalography (EEG) combined with Deep Learning and digital signal processing allows for mental activity recognition. In our study, a new feature extraction model-based is presented when combined with Bi-LSTM ... -
Bi-LSTM neural network for EEG-based error detection in musicians’ performance
Ariza Cervera, Isaac; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; De Torres García, Irene; Barbancho-Pérez, Isabel (Elsevier, 2022-09)
Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined with deep learning and digital signal processing, are widely used in neurological ... -
Building music with lego bricks and Raspberry Pi
Barbancho, Ana María; Tardón-García, Lorenzo José; Barbancho, Isabel (Springer, 2023)
In this paper, a system to build music in an intuitive and accessible way, with Lego bricks, is presented. The system makes use of the new powerful and cheap possibilities that technology ofers for making old things in a ... -
Companion files (code & dataset) - Matlab-Fieldtrip Implementation of Tools for Lessening the Influence of Artifacts in EEG Analysis
Molina-Molina, Mario; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; Barbancho-Pérez, Isabel (2023)
Companion files (code & dataset) - Matlab-Fieldtrip Implementation of Tools for Lessening the Influence of Artifacts in EEG Analysis This manuscript describes software tools implemented in Matlab to reduce the influence ... -
Complete E-Prime experiment, including code and media files, to perform synchronized EEG data recordings according to the experiment and descriptions in ‘Neural processing of Musical Mode through EEG signals’.
Tardón-García, Lorenzo José; Guillén, Sergio; Barbancho-Pérez, Ana María; Barbancho-Pérez, Isabel (Grupo de Aplicación de las Tecnologías de la Información y Comunicaciones (ATIC), 2024)
Complete E-Prime experiment, including code and media files, suitable to perform synchronized EEG data recordings according to the experiment and descriptions in: "Neural processing of Musical Mode through EEG signals" are ... -
Conducting a virtual ensemble with a kinect device
Rosa-Pujazon, Alejandro; Barbancho-Pérez, Isabel; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María (KTH Royal Institute of Technology Sound and Music Computing Group, 2013)
This paper presents a gesture-based interaction technique for the implementation of an orchestra conductor and a virtual ensemble, using a 3D camera-based sensor to capture user’s gestures. In particular, a human-computer ... -
Desafío tecnológico: herramienta para trabajar y evaluar las competencias básicas y generales en los estudios de grado de la E.T.S.I. de Telecomunicación
Barbancho-Pérez, Ana María; Barbancho-Pérez, Isabel; Tardón-García, Lorenzo José; Peinado-Domínguez, Alberto; Munilla-Fajardo, Jorge; Ortiz-García, Andrés; Mata-Contreras, Francisco Javier[et al.] (2018-09-20)
This work presents the evolution of the five editions of the educational activity named “Technological Challenge” specially focused on the students at “Escuela Técnica Superior de Ingeniería de Telecomunicación” (ETSIT), ... -
Design of an efficient music-speech discriminator
Tardón-García, Lorenzo José; Sammartino, Simone; Barbancho-Pérez, Isabel (Acoustical Society of America, 2010-01)
In this paper, the problem of the design of a simple and efficient music-speech discriminator for large audio data sets in which advanced music playing techniques are taught and voice and music are intrinsically interleaved ... -
EEG Database for language detection.
Ariza Cervera, Isaac; Barbancho-Pérez, Ana María; Tardón-García, Lorenzo José; Barbancho-Pérez, Isabel (Universidad de Málaga, 2025-01-24)
This database is made up of EEG signals from 6 subjects listening to sentences in different languages and their answers to the questions: have you understood the meaning of the sentence?. The languages chosen are: english, ... -
EEG Database for musical genres detection.
Ariza Cervera, Isaac; Barbancho-Pérez, Ana María; Tardón-García, Lorenzo José; Barbancho-Pérez, Isabel (Universidad de Málaga, 2025-01-24)
This database is made up of EEG signals from 6 subjects listening to fragments of songs from different musical genres and their answers to the questions: did you know this song and do you like this song?. The musical genres ... -
EEG Signal Analysis for the Detection of Spoken Language Comprehension
Guillén, Sergio; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; De Torres García, Irene; Barbancho-Pérez, Isabel (2022-09)
The human brain performs a series of complex processing steps to translate spoken language from mere sound into meaning. In this article, through the analysis of electroencephalogram (EEG) signals, we try to identify those ... -
Energy-based features and bi-LSTM neural network for EEG-based music and voice classification.
Ariza Cervera, Isaac; Barbancho-Pérez, Ana María; Tardón-García, Lorenzo José; Barbancho-Pérez, Isabel (Springer, 2023-09-11)
The human brain receives stimuli in multiple ways; among them, audio constitutes an important source of relevant stimuli for the brain regarding communication, amusement, warning, etc. In this context, the aim of this ... -
Enhanced average for event-related potential analysis using dynamic time warping
Molina-Molina, Mario; Tardón-García, Lorenzo José; Barbancho-Pérez, Ana María; De Torres García, Irene; Barbancho-Pérez, Isabel (Elsevier, 2023-10-05)
Electroencephalography (EEG) provides a way to understand, and evaluate neurotransmission. In this context, time-locked EEG activity or event-related potentials (ERPs) are often used to capture neural activity related to ... -
Estimation of the direction of strokes and arpegios
Barbancho-Pérez, Isabel; Tzanetakis, George; Tardón-García, Lorenzo José; Driessen, Peter F.; Barbancho-Pérez, Ana María (2014-11-05)
Whenever a chord is played in a musical instrument, the notes are not commonly played at the same time. Actually, in some instruments, it is impossible to trigger multiple notes simultaneously. In others, the player can ...