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

Atsuya Kobayashi, Reo Anzai, and Nao Tokui

Proceedings of the International Conference on New Interfaces for Musical Expression

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 recorder, composers and performers.

Citation

Atsuya Kobayashi, Reo Anzai, and Nao Tokui. 2020. ExSampling: a system for the real-time ensemble performance of field-recorded environmental sounds. Proceedings of the International Conference on New Interfaces for Musical Expression. DOI: 10.5281/zenodo.4813371 [PDF]

BibTeX Entry

@inproceedings{NIME20_58,
 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 recorder, composers and performers.},
 address = {Birmingham, UK},
 author = {Kobayashi, Atsuya and Anzai, Reo and Tokui, Nao},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.5281/zenodo.4813371},
 editor = {Romain Michon and Franziska Schroeder},
 issn = {2220-4806},
 month = {July},
 pages = {305--308},
 publisher = {Birmingham City University},
 title = {ExSampling: a system for the real-time ensemble performance of field-recorded environmental sounds},
 url = {https://www.nime.org/proceedings/2020/nime2020_paper58.pdf},
 year = {2020}
}