{"title":"文本独立说话人验证系统的GMM优化","authors":"P. Varchol, D. Levický, J. Juhár","doi":"10.1109/RADIOELEK.2008.4542690","DOIUrl":null,"url":null,"abstract":"This paper presents automatic verification system based on the voice recognition technology. System works as text independent and is designed to verify a person using a short utterance. GMM method is used for speaker modeling and GMM-UBM classifier is used for process of decision. The main goal of experiments in this paper is to finding the optimum size of the GMM and UBM models (optimum numbers of components). Experimental evaluation of the system is conducted on the database of 24 people, where around 6 minutes of speech data from one person is available for training and 3 types of utterances with different lengths from 1 to 9 seconds are available for testing.","PeriodicalId":162482,"journal":{"name":"2008 18th International Conference Radioelektronika","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Optimalization of GMM for text independent speaker verification system\",\"authors\":\"P. Varchol, D. Levický, J. Juhár\",\"doi\":\"10.1109/RADIOELEK.2008.4542690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents automatic verification system based on the voice recognition technology. System works as text independent and is designed to verify a person using a short utterance. GMM method is used for speaker modeling and GMM-UBM classifier is used for process of decision. The main goal of experiments in this paper is to finding the optimum size of the GMM and UBM models (optimum numbers of components). Experimental evaluation of the system is conducted on the database of 24 people, where around 6 minutes of speech data from one person is available for training and 3 types of utterances with different lengths from 1 to 9 seconds are available for testing.\",\"PeriodicalId\":162482,\"journal\":{\"name\":\"2008 18th International Conference Radioelektronika\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 18th International Conference Radioelektronika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADIOELEK.2008.4542690\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 18th International Conference Radioelektronika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADIOELEK.2008.4542690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimalization of GMM for text independent speaker verification system
This paper presents automatic verification system based on the voice recognition technology. System works as text independent and is designed to verify a person using a short utterance. GMM method is used for speaker modeling and GMM-UBM classifier is used for process of decision. The main goal of experiments in this paper is to finding the optimum size of the GMM and UBM models (optimum numbers of components). Experimental evaluation of the system is conducted on the database of 24 people, where around 6 minutes of speech data from one person is available for training and 3 types of utterances with different lengths from 1 to 9 seconds are available for testing.
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