Music information retrieval (MIR) is an emerging research area that receives growing
attention from both the research community and music industry. It addresses the problem of …

The increasing availability of music in digital format needs to be matched by the
development of tools for music accessing, filtering, classification, and retrieval. The research …

This chapter focuses on the recommendation problem in the music domain. Section 3.1
presents some common use cases in music recommendation. After that, Sect. 3.2, discusses …

We present a new technique for audio signal comparison based on tonal subsequence
alignment and its application to detect cover versions (ie, different performances of the same …

When considering the problem of audio-to-audio matching, determining musical similarity
using low-level features such as Fourier transforms and MFCCs is an extremely difficult task …

A huge increase in the number of digital music tracks has created the necessity to develop
an automated tool to extract the useful information from these tracks. As this information has …

We describe the results of the first large-scale raag recognition experiment. Raags are the
central structure of Indian classical music, each consisting of a unique set of complex …

In musicology, there has been a long debate about a meaningful partitioning and description
of music history regarding composition styles. Particularly, concepts of historical periods …

This study reviews the use of pitch histograms in music information retrieval studies for
western and non-western music. The problems in applying the pitch-class histogram-based …

While global key and chord estimation for both popular and classical music recordings have
received a lot of attention, little research has been devoted to estimating the local key for …