Microphone-based electronic wind instrument by feature extraction from breath signals

Francesco Bigoni, Pelle Juul Christensen, Rasmus Eklund, Javier Molina Garcia, Cumhur Erkut

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

An electronic wind instrument is an analog or digital electronic instrument actuated by blowing onto an electronic sensor. Through the history of electronic wind instruments, the refinement of the physical interfaces has not been followed by major innovations regarding breath and embouchure detection: the industry is still largely relying on pressure sensors for measuring air flow. We argue that many sound production techniques for acoustic wind instruments depend on breath quality in addition to breath quantity, and that most of the commercially available electronic options do not account for this. A series of breath signal measurements indicated that an electret microphone flush-mounted in a plastic tube is a suitable sensor for feature extraction of the player's breath. Therefore, we propose the implementation of an electronic wind instrument, which captures the envelope and frequency content of the breath and detects whether the signal is voiced or unvoiced. These features are mapped to the parameters of an FM synthesizer, with an external MIDI keyboard providing pitch control. A simple evaluation shows that the proposed implementation is able to capture the intended signal features, and that these translate well into the character of the output signal. A short performance was recorded to demonstrate that our instrument is potentially suitable for live applications. © Proceedings of the 15th Sound and Music Computing .
Original languageEnglish
Title of host publicationProceedings of the 15th Sound and Music Computing Conference : Sonic Crossings, SMC 2018
EditorsAnastasia Georgaki, Areti Andreopoulou
Number of pages8
PublisherSound and Music Computing Network
Publication date1 Jan 2018
Pages134-141
ISBN (Electronic)9789963697304
Publication statusPublished - 1 Jan 2018
Event15th Sound and Music Computing Conference, SMC 2018 - Limassol, Cyprus
Duration: 4 Jul 20187 Jul 2018

Conference

Conference15th Sound and Music Computing Conference, SMC 2018
CountryCyprus
CityLimassol
Period04/07/201807/07/2018

Fingerprint

Microphones
Feature extraction
Acoustic waves
Electrets
Sensors
Pressure sensors
Blow molding
Innovation
Acoustics
Plastics
Air
Industry

Cite this

Bigoni, F., Juul Christensen, P., Eklund, R., Molina Garcia, J., & Erkut, C. (2018). Microphone-based electronic wind instrument by feature extraction from breath signals. In A. Georgaki, & A. Andreopoulou (Eds.), Proceedings of the 15th Sound and Music Computing Conference: Sonic Crossings, SMC 2018 (pp. 134-141). Sound and Music Computing Network.
Bigoni, Francesco ; Juul Christensen, Pelle ; Eklund, Rasmus ; Molina Garcia, Javier ; Erkut, Cumhur. / Microphone-based electronic wind instrument by feature extraction from breath signals. Proceedings of the 15th Sound and Music Computing Conference: Sonic Crossings, SMC 2018. editor / Anastasia Georgaki ; Areti Andreopoulou. Sound and Music Computing Network, 2018. pp. 134-141
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Bigoni, F, Juul Christensen, P, Eklund, R, Molina Garcia, J & Erkut, C 2018, Microphone-based electronic wind instrument by feature extraction from breath signals. in A Georgaki & A Andreopoulou (eds), Proceedings of the 15th Sound and Music Computing Conference: Sonic Crossings, SMC 2018. Sound and Music Computing Network, pp. 134-141, 15th Sound and Music Computing Conference, SMC 2018, Limassol, Cyprus, 04/07/2018.

Microphone-based electronic wind instrument by feature extraction from breath signals. / Bigoni, Francesco; Juul Christensen, Pelle; Eklund, Rasmus; Molina Garcia, Javier; Erkut, Cumhur.

Proceedings of the 15th Sound and Music Computing Conference: Sonic Crossings, SMC 2018. ed. / Anastasia Georgaki; Areti Andreopoulou. Sound and Music Computing Network, 2018. p. 134-141.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Bigoni F, Juul Christensen P, Eklund R, Molina Garcia J, Erkut C. Microphone-based electronic wind instrument by feature extraction from breath signals. In Georgaki A, Andreopoulou A, editors, Proceedings of the 15th Sound and Music Computing Conference: Sonic Crossings, SMC 2018. Sound and Music Computing Network. 2018. p. 134-141