Record companies invest billions of dollars in new talent around the globe each year.
Gaining insight into what actually makes a hit song would provide tremendous benefits for …

During the last 10 years there has been a dramatic shift in how music is produced,
distributed, and consumed. A combination of advances in digital storage, audio …

Many music information retrieval tasks require finding the nearest neighbors of a query item
in a high-dimensional space. However, the complexity of computing nearest neighbors …

Notes in a musical piece are building blocks employed in non-random ways to create
melodies. It is the “interaction” among a limited amount of notes that allows constructing the …

This paper investigates methods for quantifying similarity between audio signals, specifically
for the task of cover song detection. We consider an information-theoretic approach, where …

E-commerce Web sites owe much of their popularity to consumer reviews provided together
with product descriptions. On-line customers spend hours and hours going through heaps of …

One of the popular methods for content-based music similarity estimation is to model timbre
with MFCC as a single multivariate Gaussian with full covariance matrix, then use symmetric …

The rise of digital music distribution has provided users with unprecedented access to vast
song catalogs. In order to help users cope with large collections, music information retrieval …

Real-time collaboration systems, in which participants share multimedia documents and
applications in real time, have been a subject of interest for many years. Recent …

Content-based music similarity is becoming important because of the millions of songs with
online distribution. However, current methods have to treat the same attention on unrelated …