{"title":"语音和音频信号中脉冲噪声的检测方法","authors":"lsmo Kauppinen","doi":"10.1109/ICDSP.2002.1028251","DOIUrl":null,"url":null,"abstract":"Computationally efficient methods for detecting non-Gaussian impulsive noise in digital speech and audio signals are presented. The aim of the detection is to find the errors without false detections in the case of e.g. percussive sounds in music signal or stop-consonants in speech signal. Various methods for computing a detection signal and a threshold curve are studied and tested. The detection can be applied in real time to a digital data stream.","PeriodicalId":351073,"journal":{"name":"2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"64","resultStr":"{\"title\":\"Methods for detecting impulsive noise in speech and audio signals\",\"authors\":\"lsmo Kauppinen\",\"doi\":\"10.1109/ICDSP.2002.1028251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computationally efficient methods for detecting non-Gaussian impulsive noise in digital speech and audio signals are presented. The aim of the detection is to find the errors without false detections in the case of e.g. percussive sounds in music signal or stop-consonants in speech signal. Various methods for computing a detection signal and a threshold curve are studied and tested. The detection can be applied in real time to a digital data stream.\",\"PeriodicalId\":351073,\"journal\":{\"name\":\"2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"64\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSP.2002.1028251\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSP.2002.1028251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Methods for detecting impulsive noise in speech and audio signals
Computationally efficient methods for detecting non-Gaussian impulsive noise in digital speech and audio signals are presented. The aim of the detection is to find the errors without false detections in the case of e.g. percussive sounds in music signal or stop-consonants in speech signal. Various methods for computing a detection signal and a threshold curve are studied and tested. The detection can be applied in real time to a digital data stream.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
