Drumductor: A gesture-augmented drum pattern generator

Xianda Wang, Tae Hong Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we introduce the drumductor which combines hand gesture tracking, machine learning, and a drum pattern prototype software to generate and control drum patterns in real-time. Drumductor aims to provide an alternative way to create and interact with synthetically generated drum sequences where predefined drum patterns, fills, and single drum hits can be“conducted” rather than fully performed or fully sequenced. The drumductor system can be utilised in widely-used digital audio workstation (DAW) environments as well as in live performance settings where users are provided with a blended drum pattern generator tool for generating drum patterns.

Original languageEnglish (US)
Title of host publicationProceedings of the 2019 International Computer Music Conference, ICMC-NYCEMF 2019 - International Computer Music Conference New York City Electroacoustic Music Festival
PublisherInternational Computer Music Association
Pages411-416
Number of pages6
ISBN (Electronic)0984527486, 9780984527489
StatePublished - Sep 1 2019
Event45th International Computer Music Conference, ICMC 2019 and International Computer Music Conference New York City Electroacoustic Music Festival, NYCEMF 2019 - New York, United States
Duration: Jun 16 2019Jun 23 2019

Publication series

NameProceedings of the 2019 International Computer Music Conference, ICMC-NYCEMF 2019 - International Computer Music Conference New York City Electroacoustic Music Festival

Conference

Conference45th International Computer Music Conference, ICMC 2019 and International Computer Music Conference New York City Electroacoustic Music Festival, NYCEMF 2019
Country/TerritoryUnited States
CityNew York
Period6/16/196/23/19

ASJC Scopus subject areas

  • Media Technology
  • Music
  • Computer Science Applications

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