Şentürk, Sertan (Date of defense: 2017-02-22)
This thesis addresses several shortcomings on the current state of the art methodologies in music information retrieval (MIR). In particular, it proposes several computational approaches to automatically ...
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 ...
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 ...