Kersten, Stefan (Date of defense: 2016-02-05)
Environmental texture sounds are an integral, though often overlooked, part of our daily life. They constitute those elements of our sounding environment that we tend to perceive subconsciously but which ...
Haro Berois, Martín (Date of defense: 2013-11-22)
In the last few years some Music Information Retrieval (MIR) researchers have spotted important drawbacks in applying standard successful-in-monophonic algorithms to polyphonic music classification and ...
Hazan, Amaury (Date of defense: 2010-07-16)
We develop in this thesis a computational model of music expectation, which may be one of the most important aspects in music listening. Many phenomenons related to music listening such as preference, ...
Marxer Piñón, Ricard (Date of defense: 2013-09-09)
Aquesta tesi proposa mètodes per tractar les limitacions de les tècniques existents de separació de fonts musicals en condicions de baixa i alta latència. En primer lloc, ens centrem en els mètodes amb ...
Amatriain, Xavier (Date of defense: 2005-01-27)
Classical models for information transmission such as Shannon and Weaver's still tend to be looked at as the only possible scenarios where signal processing applications can be formally modeled. Meanwhile, ...
Fonseca, Eduardo (Date of defense: 2021-12-01)
The automatic recognition of sound events has gained attention in the past few years, motivated by emerging applications in fields such as healthcare, smart homes, or urban planning. When the work for ...
Muševič, Sašo (Date of defense: 2013-09-10)
Muchos tipos de señales que encontramos a diario pertenecen a la categoría de sinusoides no estacionarias. Una gran parte de esas señales son sonidos que presentan una gran variedad de características: ...
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 ...