{"title":"采样:用于现场录制环境声音的实时集成性能的系统","authors":"Atsuya Kobayashi, Reo Anzai, N. Tokui","doi":"10.5281/zenodo.4813371","DOIUrl":null,"url":null,"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.","PeriodicalId":161317,"journal":{"name":"New Interfaces for Musical Expression","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"ExSampling: a system for the real-time ensemble performance of field-recorded environmental sounds\",\"authors\":\"Atsuya Kobayashi, Reo Anzai, N. Tokui\",\"doi\":\"10.5281/zenodo.4813371\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":161317,\"journal\":{\"name\":\"New Interfaces for Musical Expression\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"New Interfaces for Musical Expression\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/zenodo.4813371\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"New Interfaces for Musical Expression","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/zenodo.4813371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ExSampling: a system for the real-time ensemble performance of field-recorded environmental sounds
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.