{"title":"基于Alize/Lia_Ral工具包的法医说话人验证系统的鲁棒性","authors":"Francesco Bellomo, F. Beritelli, E. Sciacca","doi":"10.1109/BIOMS.2014.6951542","DOIUrl":null,"url":null,"abstract":"This paper presents the performance analysis of Alize/Lia_Ral algorithms in forensic speaker verification applications. In particular, in this work we evaluate the performance impact of speech signal degradation considering the background noise level, speech rate variation, audio signal length used for testing, GSM radio channel, etc. The Alize/Lia_Ral platform has demonstrated a strong dependence on the ambient noise and a slight dependence on Lombard effect, bandwidth reduction, length of the audio signal, and changes in speech rate.","PeriodicalId":175781,"journal":{"name":"2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robustness of forensic speaker verification systems based on Alize/Lia_Ral toolkit\",\"authors\":\"Francesco Bellomo, F. Beritelli, E. Sciacca\",\"doi\":\"10.1109/BIOMS.2014.6951542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the performance analysis of Alize/Lia_Ral algorithms in forensic speaker verification applications. In particular, in this work we evaluate the performance impact of speech signal degradation considering the background noise level, speech rate variation, audio signal length used for testing, GSM radio channel, etc. The Alize/Lia_Ral platform has demonstrated a strong dependence on the ambient noise and a slight dependence on Lombard effect, bandwidth reduction, length of the audio signal, and changes in speech rate.\",\"PeriodicalId\":175781,\"journal\":{\"name\":\"2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIOMS.2014.6951542\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOMS.2014.6951542","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robustness of forensic speaker verification systems based on Alize/Lia_Ral toolkit
This paper presents the performance analysis of Alize/Lia_Ral algorithms in forensic speaker verification applications. In particular, in this work we evaluate the performance impact of speech signal degradation considering the background noise level, speech rate variation, audio signal length used for testing, GSM radio channel, etc. The Alize/Lia_Ral platform has demonstrated a strong dependence on the ambient noise and a slight dependence on Lombard effect, bandwidth reduction, length of the audio signal, and changes in speech rate.
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