ExSampling: a system for the real-time ensemble performance of field-recorded environmental sounds

descriptionPublicationkeyboard_double_arrow_right Conference object , Article , Preprint 01 Jan 2020Embargo end date: 01 Jan 2020Publisher:ZenodoJournal:CoRR, volume abs/2006.09645

Authors: Atsuya Kobayashi; Reo Anzai; Nao Tokui;

doi: 10.5281/zenodo.4813370 , 10.48550/arxiv.2006.09645 , 10.5281/zenodo.4813371

arXiv: 2006.09645

ExSampling: a system for the real-time ensemble performance of field-recorded environmental sounds

- Summary
- Subjects
- Metrics

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 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.

The International Conference on New Interfaces for Musical Expression 2020 poster presentation. 4 pages

Keywords

FOS: Computer and information sciences, Sound (cs.SD), Audio and Speech Processing (eess.AS), Computer Science - Human-Computer Interaction, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Human-Computer Interaction (cs.HC)

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average