{"title":"识别由移动电话记录的环境声音","authors":"Reona Mogi, H. Kasai","doi":"10.1145/2436196.2436201","DOIUrl":null,"url":null,"abstract":"Recognizing and understanding of environmental sounds shall give higher semantics of the surrounding context and situation. This paper presents a proposal of an innovative environmental sound recognition method as a combination of robust ICA basis in a frequency domain and robust MP feature in the time domain. Implementation details and its performance evaluations are presented. Its feasibility and future works are provided.","PeriodicalId":43578,"journal":{"name":"Mobile Computing and Communications Review","volume":"137 1","pages":"8-9"},"PeriodicalIF":0.0000,"publicationDate":"2013-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recognition of environmental sound recorded by mobile phone\",\"authors\":\"Reona Mogi, H. Kasai\",\"doi\":\"10.1145/2436196.2436201\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recognizing and understanding of environmental sounds shall give higher semantics of the surrounding context and situation. This paper presents a proposal of an innovative environmental sound recognition method as a combination of robust ICA basis in a frequency domain and robust MP feature in the time domain. Implementation details and its performance evaluations are presented. Its feasibility and future works are provided.\",\"PeriodicalId\":43578,\"journal\":{\"name\":\"Mobile Computing and Communications Review\",\"volume\":\"137 1\",\"pages\":\"8-9\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-02-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mobile Computing and Communications Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2436196.2436201\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mobile Computing and Communications Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2436196.2436201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recognition of environmental sound recorded by mobile phone
Recognizing and understanding of environmental sounds shall give higher semantics of the surrounding context and situation. This paper presents a proposal of an innovative environmental sound recognition method as a combination of robust ICA basis in a frequency domain and robust MP feature in the time domain. Implementation details and its performance evaluations are presented. Its feasibility and future works are provided.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
