Salselas, Inês (Date of defense: 2013-04-26)
This dissertation concerns the computational modelling of early life development of music perception and cognition. Experimental psychology and neuroscience show results that suggest that the development ...
Oramas Martín, Sergio (Date of defense: 2017-11-29)
In this thesis, we address the problems of classifying and recommending music present in large collections. We focus on the semantic enrichment of descriptions associated to musical items (e.g., artists ...
Zinemanas Frieti, Pablo (Date of defense: 2023-10-20)
Deep-learning models have revolutionized state-of-the-art technologies in many research areas, but their black-box structure makes it difficult to understand their inner workings and the rationale ...
Favory, Xavier (Date of defense: 2021-03-04)
Capturing sounds on a recording medium to enable their preservation and reproduction started to be possible during the industrial revolution of the 19th century, originally achieved through mechanic and ...
Cano Vila, Pedro (Date of defense: 2007-04-27)
Aquesta tesi tracta de cercadors d'audio basats en contingut. Específicament, tracta de desenvolupar tecnologies que permetin fer més estret l'interval semàntic o --semantic gap' que, a avui dia, limita ...
Ong, Bee Suan (Date of defense: 2007-02-21)
Con la reciente explosión cuantitativa de bibliotecas y colecciones de música en formato<br/>digital, la descripción del contenido desempeña un papel fundamental para una gestión y<br/>búsqueda eficientes ...
Srinivasamurthy, Ajay (Date of defense: 2016-11-17)
Las colecciones de música son cada vez mayores y más variadas, haciendo necesarias nuevas fórmulas para su organización automática. El análisis automático del ritmo tiene como fin la extracción de ...
Font Corbera, Frederic (Date of defense: 2015-06-11)
Les plataformes d'intercanvi de recursos multimèdia contenen grans quantitats de contingut creat pels seus usuaris. Habitualment, aquest contingut no està ben anotat. En aquesta tesi, proposem mètodes ...
Papiotis, Panagiotis (Date of defense: 2016-02-01)
This dissertation proposes a computational data-driven methodology to measure music ensemble interdependence - the degree to which musicians interact and influence each other’s actions in order to achieve ...