{"title":"活体检测的图像和音频","authors":"Wei Yuen Teh, Ian K. T. Tan, Heng Kiat Tan","doi":"10.1109/ISPACS57703.2022.10082821","DOIUrl":null,"url":null,"abstract":"In this demo paper, we provide a brief overview of liveness detection in the visual and audio modalities. We provide links to our online demos, and discuss some of the technical details behind their implementations, including the use of Convolutional Neural Networks and Mel Spectrograms for the audio modality.","PeriodicalId":410603,"journal":{"name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Liveness Detection for Images and Audio\",\"authors\":\"Wei Yuen Teh, Ian K. T. Tan, Heng Kiat Tan\",\"doi\":\"10.1109/ISPACS57703.2022.10082821\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this demo paper, we provide a brief overview of liveness detection in the visual and audio modalities. We provide links to our online demos, and discuss some of the technical details behind their implementations, including the use of Convolutional Neural Networks and Mel Spectrograms for the audio modality.\",\"PeriodicalId\":410603,\"journal\":{\"name\":\"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS57703.2022.10082821\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS57703.2022.10082821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this demo paper, we provide a brief overview of liveness detection in the visual and audio modalities. We provide links to our online demos, and discuss some of the technical details behind their implementations, including the use of Convolutional Neural Networks and Mel Spectrograms for the audio modality.