Alexander Bohlender, Lucas Van Severen, Jonathan Sterckx, N. Madhu
{"title":"使用复杂角中心高斯混合模型的DOA引导源分离,基于方向的初始化和时间注释","authors":"Alexander Bohlender, Lucas Van Severen, Jonathan Sterckx, N. Madhu","doi":"10.1186/s13636-022-00246-7","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49309,"journal":{"name":"Journal on Audio Speech and Music Processing","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2022-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DOA-guided source separation with direction-based initialization and time annotations using complex angular central Gaussian mixture models\",\"authors\":\"Alexander Bohlender, Lucas Van Severen, Jonathan Sterckx, N. Madhu\",\"doi\":\"10.1186/s13636-022-00246-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":49309,\"journal\":{\"name\":\"Journal on Audio Speech and Music Processing\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2022-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal on Audio Speech and Music Processing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1186/s13636-022-00246-7\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal on Audio Speech and Music Processing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1186/s13636-022-00246-7","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
期刊介绍:
The aim of “EURASIP Journal on Audio, Speech, and Music Processing” is to bring together researchers, scientists and engineers working on the theory and applications of the processing of various audio signals, with a specific focus on speech and music. EURASIP Journal on Audio, Speech, and Music Processing will be an interdisciplinary journal for the dissemination of all basic and applied aspects of speech communication and audio processes.