论文标题

Ex采样:实时集合性能的系统,录制了环境声音

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

论文作者

Kobayashi, Atsuya, Anzai, Reo, Tokui, Nao

论文摘要

我们提出了Ex采样:录制应用程序和深度学习环境的集成系统,以通过现场记录采样环境声音的实时音乐表现。自动化的声音映射到Ableton Live Tracks通过深度学习使现场记录可以应用于实时性能,并在声音录音机,作曲家和表演者之间创建互动。

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.

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