The continuous evolution of multimedia applications is fostering applied research in order to
dynamically enhance the services provided by platforms such as Spotify, Lastfm, or …

The main objective of this paper is to review the technologies and models used in the
Automatic music transcription system. Music Information Retrieval is a key problem in the …

This paper addresses the use of Music Information Retrieval (MIR) techniques in music
education and their integration in learning software. A general overview of systems that are …

Multi-pitch estimation is a fundamental and key problem in music information retrieval, but
still remains challenging due to the intrinsic complexity of polyphonic music. To address this …

This chapter provides an introduction to the area of research and starts with an overview of
the sonars which are the primary means for acquiring the target signals. Sonars play a key …

Music education is an essential and significant link in a quality education, as it can assist
pupils improve their integrity and nurture noble character. The evident distinction between …

In acoustic scene classification (ASC), acoustic features play a crucial role in the extraction
of scene information, which can be stored over different time scales. Moreover, the limited …

Automatic music transcription is the process of converting an audio recording into a symbolic
representation using musical notation. It has numerous applications in music information …

In acoustic scene classification (ASC), acoustic features play a crucial role in the extraction
of scene information, which can be stored over different time scales. Moreover, the limited …

The performance of automatic music transcription seems to have reached a limit over the
last decade, and a promising direction of improvements could be to incorporate music …