Modern synthesizers and software created a need for encoding musical performance. However, human singing voice, which is the dominant means of musical expression, lacks a reliable encoding system. This is because of the difficulties we face to extract the necessary control information from its heavy harmonic content. In this paper a novel singing voice MIDI controller, based on the Electroglottography is proposed. Electroglottographic signal has lower harmonic content than audio, but it contains enough information to describe music expression. The system uses autocorrelation for pitch extraction and a set of supplementary algorithms to provide information for dynamics and duration. The results show that the proposed system can serve as a platform for the development of reliable singing voice MIDI controllers.

Authors: Kehrakos, Kostas; Chousidis, Christos; Kouzoupis, Spyros
Affiliations: TEI of Crete, E. Daskalaki, Greece; Brunel University, Uxbridge, London, UK(See document for exact affiliation information.)
AES Convention: 140 (May 2016) Paper Number: 9578
Publication Date: May 26, 2016 Import into BibTeX
Subject: Human Factors and Interfaces
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=18276

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