Exsampling: A system for the real-time ensemble performance of field-recorded environmental sounds

Atsuya Kobayashi, Reo Anzai, Nao Tokui

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

We propose ExSampling: an integrated system of recording application and Deep Learning environment for a real-time music performance of environmental sounds sampled by field 1 recording. Automated sound mapping to Ableton Live tracks by Deep Learning enables field recording to be applied to real-time performance, and create interactions among sound recorders, composers and performers.

Original languageEnglish
Pages (from-to)305-308
Number of pages4
JournalProceedings of the International Conference on New Interfaces for Musical Expression
Publication statusPublished - 2020
Event20th International Conference on New Interfaces for Musical Expression, NIME 2020 - Birmingham, United Kingdom
Duration: 2020 Jul 212020 Jul 25

Keywords

  • Field Recording
  • MIDI
  • Machine Learning
  • Max
  • Music Concrete
  • Neural Network
  • P5.js
  • Python
  • Web Audio API

ASJC Scopus subject areas

  • Signal Processing
  • Instrumentation
  • Music
  • Human-Computer Interaction
  • Control and Systems Engineering
  • Hardware and Architecture
  • Computer Science Applications

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