Abstract
Singing refers to the act of producing musical sounds with the human voice, and singing transcription refers to the automatic conversion of a recorded singing signal into a parametric representation (e.g., a MIDI file) by applying signal-processing methods. Singing transcription is an important topic in computational music-content analysis since it is the most natural way of human-computer interaction in the musical sense: even a musically untrained subject is usually able to hum the melody of a piece. This chapter introduces the singing transcription problem and presents an overview of the main approaches to solve it, including the current state-of-the-art singing transcription systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer Science+Business Media LLC
About this chapter
Cite this chapter
Ryynänen, M. (2006). Singing Transcription. In: Klapuri, A., Davy, M. (eds) Signal Processing Methods for Music Transcription. Springer, Boston, MA. https://doi.org/10.1007/0-387-32845-9_12
Download citation
DOI: https://doi.org/10.1007/0-387-32845-9_12
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-30667-4
Online ISBN: 978-0-387-32845-4
eBook Packages: EngineeringEngineering (R0)