Signal Processing Methods for Music Transcription is the first book dedicated to uniting
research related to signal processing algorithms and models for various aspects of music …

A decade has passed since the first review of research on a 'flagship application'of music
information retrieval (MIR): the problem of music genre recognition (MGR). During this time …

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 …

Transformers and variational autoencoders (VAE) have been extensively employed for
symbolic (eg, MIDI) domain music generation. While the former boast an impressive …

Music signal processing may appear to be the junior relation of the large and mature field of
speech signal processing, not least because many techniques and representations …

An adversary is an agent designed to make a classification system perform in some
particular way, eg, increase the probability of a false negative. Recent work builds …

We present a study on the importance of psycho-acoustic transformations for effective audio
feature calculation. From the results, both crucial and problematic parts of the algorithm for …

Groove is often described as the experience of music that makes people tap their feet and
want to dance. A high degree of consistency in ratings of groove across listeners indicates …

We present a simple and efficient method for beat tracking of musical audio. With the aim of
replicating the human ability of tap** in time to music, we formulate our approach using a …

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 …