Mirages: An account of music audio extractors, semantic description and context-awareness, in the three ages of mir
- Autores: Perfecto Herrera Boyer
- Directores de la Tesis: Emilia Gómez Gutiérrez (dir. tes.), Xavier Serra Casals (codir. tes.)
- Lectura: En la Universitat Pompeu Fabra ( España ) en 2018
- Idioma: español
- Tribunal Calificador de la Tesis: Geoffroy Peeters (presid.), Sergi Jordà Puig (secret.), Josep Lluís Arcos Rosell (voc.)
- Programa de doctorado: Programa de Doctorado en Tecnologías de la Información y las Comunicaciones por la Universidad Pompeu Fabra
- Materias:
- Enlaces
- Tesis en acceso abierto en: TDX
- Resumen
This tesis reports on research carried out and published during the last twenty years on different problems of Music Information Retrieval (MIR). We organize the text as a personal account and critical reflection along four hypothesized ages that have shaped the evolution of MIR. In the age of feature extractors, we present work on features to describe sounds and music, especially timbre and tonal aspects. In the age of semantic descriptors work on describing music with high-level concepts, such as mood, instruments, similarities, cover versions or genres, usually inferred with machine learning from annotated collections is reported. In the age of context-aware systems we report on user models for recommendation and for avatar generation, in addition to factors that influence music listening decisions. We finally discuss the possibility of a more recent age of creative systems where MIR features, classifiers, models and evaluation methodologies aid to enhance or expand music creation.
The thesis contains 13 papers published in international peer-reviewed journals and conferences.
