This chapter presents several computational approaches aimed at supporting knowledge
discovery in music. Our work combines data mining, signal processing and data …

Sound is a phenomenon that lives in manifold dimensions. Besides pitch, volume, timbre
and many others, the time is an essential component. In the field of audio signal processing …

Music can be described and represented in many different ways including sheet music,
symbolic representations, and audio recordings. For each of these representations, there …

This thesis contributes to bridging the gap between music information retrieval (MIR) and
musicology. We present several automated methods for music analysis, which are motivated …

Abstract Music Information Retrieval (MIR) is a current area of research which aims at
providing techniques and tools for searching, organizing, processing and interacting with …

Music is highly structured data. Structure in music arises from repetitions, contrasts and
homogeneity in musical aspects such as melody, dynamics, harmony, timbre or tempo. The …