{"title":"实现使用移动设备测量声学环境的相似性","authors":"I. Jokic, S. Jokic, V. Delić, Z. Perić","doi":"10.1109/TELSKS.2017.8246261","DOIUrl":null,"url":null,"abstract":"There is a similarity between algorithm for automatic speaker recognition, speech or emotion recognition in speech, and in general automatic sound recognition. Algorithm based on use of mel-frequency cepstral coefficients and covariance matrices, previously used for automatic speaker recognition, is extended to automatic sound recognition. One example of using application for automatic sound recognition is presented. This application can show the similarity between different acoustical environments.","PeriodicalId":206778,"journal":{"name":"2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards enabling measurement of similarity of acoustical environments using mobile devices\",\"authors\":\"I. Jokic, S. Jokic, V. Delić, Z. Perić\",\"doi\":\"10.1109/TELSKS.2017.8246261\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is a similarity between algorithm for automatic speaker recognition, speech or emotion recognition in speech, and in general automatic sound recognition. Algorithm based on use of mel-frequency cepstral coefficients and covariance matrices, previously used for automatic speaker recognition, is extended to automatic sound recognition. One example of using application for automatic sound recognition is presented. This application can show the similarity between different acoustical environments.\",\"PeriodicalId\":206778,\"journal\":{\"name\":\"2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TELSKS.2017.8246261\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELSKS.2017.8246261","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards enabling measurement of similarity of acoustical environments using mobile devices
There is a similarity between algorithm for automatic speaker recognition, speech or emotion recognition in speech, and in general automatic sound recognition. Algorithm based on use of mel-frequency cepstral coefficients and covariance matrices, previously used for automatic speaker recognition, is extended to automatic sound recognition. One example of using application for automatic sound recognition is presented. This application can show the similarity between different acoustical environments.