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Published in:
Systematic Musicology: A Historical Interdisciplinary Perspective Read chapter Read first chapter

2018 | OriginalPaper | Chapter

42. Music Learning: Automatic Music Composition and Singing Voice Assessment

Authors : Lorenzo J. Tardón, Isabel Barbancho, Carles Roig, Emilio Molina, Ana M. Barbancho

Published in: Springer Handbook of Systematic Musicology

Publisher: Springer Berlin Heidelberg

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Abstract

Traditionally, singing skills are learned and improved by means of the supervised rehearsal of a set of selected exercises. A music teacher evaluates the user's performance and recommends new exercises according to the user's evolution.
In this chapter, the goal is to describe a virtual environment that partially resembles the traditional music learning process and the music teacher's role, allowing for a complete interactive self-learning process.
An overview of the complete chain of an interactive singing-learning system including tools and concrete techniques will be presented. In brief, first, the system should provide a set of training exercises. Then, it should assess the user's performance. Finally, the system should be able to provide the user with new exercises selected or created according to the results of the evaluation.
Following this scheme, methods for the creation of user-adapted exercises and the automatic evaluation of singing skills will be presented. A technique for the dynamical generation of musically meaningful singing exercises, adapted to the user's level, will be shown. It will be based on the proper repetition of musical structures, while assuring the correctness of harmony and rhythm. Additionally, a module for singing assessment of the user's performance, in terms of intonation and rhythm, will be shown.

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Metadata
Title
Music Learning: Automatic Music Composition and Singing Voice Assessment
Authors
Lorenzo J. Tardón
Isabel Barbancho
Carles Roig
Emilio Molina
Ana M. Barbancho
Copyright Year
2018
Publisher
Springer Berlin Heidelberg
Book
Springer Handbook of Systematic Musicology

Print ISBN: 978-3-662-55002-1

Electronic ISBN: 978-3-662-55004-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-662-55004-5_42

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