Gulati, Sankalp (Date of defense: 2016-11-17)
Automatically describing contents of recorded music is crucial for interacting with large volumes of audio recordings, and for developing novel tools to facilitate music pedagogy. Melody is a fundamental ...
Koduri, Gopala Krishna (Date of defense: 2017-02-22)
This thesis is a result of our research efforts in building a multi-modal knowledgebase for the specific case of Carnatic music. Besides making use of metadata and symbolic notations, we process natural ...
Dzhambazov, Georgi (Date of defense: 2017-06-28)
This thesis proposes specific signal processing and machine learning methodologies for automatically aligning the lyrics of a song to its corresponding audio recording. The research carried out falls ...
Roma Trepat, Gerard (Date of defense: 2015-06-05)
The rapid adoption of Internet and web technologies has created an opportunity for making music collaboratively by sharing information online. However, current applications for online music making do ...
Bogdanov, Dmitry (Date of defense: 2013-09-06)
Aquest treball es centra en el modelatge d'usuari per la recomanació musical i desenvolupa algoritmes per la comprensió automàtica i visualització de preferències musicals. Primer, es proposa un model ...
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 ...
Laurier, Cyril François (Date of defense: 2011-09-19)
In this work, we focus on automatically classifying music by mood. For this purpose, we propose computational models using information extracted from the audio signal. The foundations of such algorithms ...
Salamon, Justin J. (Date of defense: 2013-09-20)
Music was the first mass-market industry to be completely restructured by digital technology, and today we can have access to thousands of tracks stored locally on our smartphone and millions of tracks ...
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, ...