Lingxiang Xia, Z. Cheng, Changhong Gong, Xiang Zou
{"title":"一种基于TEE的语音活动检测方法","authors":"Lingxiang Xia, Z. Cheng, Changhong Gong, Xiang Zou","doi":"10.1145/3495018.3495154","DOIUrl":null,"url":null,"abstract":"To solve the problem of low accuracy of voice activity detection under low SNR, this paper proposes a voice activity detection method based on TEE. Firstly, TEE feature parameter is proposed and used for speech feature extraction; then, the superiority and real-time performance of TEE algorithm are verified theoretically; Finally, TEE is combined with the double threshod method based on FCMC and BIC for the voice activity detection. The experiment proves that the voice activity detection method has high accuracy.","PeriodicalId":6873,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"25 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Voice Activity Detection Method Based on TEE\",\"authors\":\"Lingxiang Xia, Z. Cheng, Changhong Gong, Xiang Zou\",\"doi\":\"10.1145/3495018.3495154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To solve the problem of low accuracy of voice activity detection under low SNR, this paper proposes a voice activity detection method based on TEE. Firstly, TEE feature parameter is proposed and used for speech feature extraction; then, the superiority and real-time performance of TEE algorithm are verified theoretically; Finally, TEE is combined with the double threshod method based on FCMC and BIC for the voice activity detection. The experiment proves that the voice activity detection method has high accuracy.\",\"PeriodicalId\":6873,\"journal\":{\"name\":\"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3495018.3495154\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3495018.3495154","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
To solve the problem of low accuracy of voice activity detection under low SNR, this paper proposes a voice activity detection method based on TEE. Firstly, TEE feature parameter is proposed and used for speech feature extraction; then, the superiority and real-time performance of TEE algorithm are verified theoretically; Finally, TEE is combined with the double threshod method based on FCMC and BIC for the voice activity detection. The experiment proves that the voice activity detection method has high accuracy.