Academic literature on the topic 'Voice biometry'
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Journal articles on the topic "Voice biometry"
Lutsenko, K., and K. Nikulin. "VOICE SPEAKER IDENTIFICATION AS ONE OF THE CURRENT BIOMETRIC METHODS OF IDENTIFICATION OF A PERSON." Theory and Practice of Forensic Science and Criminalistics 19, no. 1 (April 2, 2020): 239–55. http://dx.doi.org/10.32353/khrife.1.2019.18.
Full text., Himanshi, Trisha Gulati, and Yasha Hasija. "Biometrics in Healthcare." INTERNATIONAL JOURNAL OF ADVANCED PRODUCTION AND INDUSTRIAL ENGINEERING 3, no. 2 (April 15, 2018): 13–17. http://dx.doi.org/10.35121/ijapie201804223.
Full textChinyemba, Melissa K., and Jackson Phiri. "Gaps in the Management and Use of Biometric Data: A Case of Zambian Public and Private Institutions." Zambia ICT Journal 2, no. 1 (June 29, 2018): 35–43. http://dx.doi.org/10.33260/zictjournal.v2i1.49.
Full textAdhinata, Faisal Dharma, Diovianto Putra Rakhmadani, and Alon Jala Tirta Segara. "Pengenalan Jenis Kelamin Manusia Berbasis Suara Menggunakan MFCC dan GMM." Journal of Dinda : Data Science, Information Technology, and Data Analytics 1, no. 1 (February 2, 2021): 28–33. http://dx.doi.org/10.20895/dinda.v1i1.198.
Full textOuamour, Siham, and Halim Sayoud. "Speaker Discrimination on Broadcast News and Telephonic Calls Using a Fusion of Neural and Statistical Classifiers." International Journal of Mobile Computing and Multimedia Communications 1, no. 4 (October 2009): 47–63. http://dx.doi.org/10.4018/jmcmc.2009072804.
Full textSingh, Nilu, Alka Agrawal, and R. A. Khan. "Voice Biometric: A Technology for Voice Based Authentication." Advanced Science, Engineering and Medicine 10, no. 7 (July 1, 2018): 754–59. http://dx.doi.org/10.1166/asem.2018.2219.
Full textAlgabri, Mohammed, Hassan Mathkour, Mohamed A. Bencherif, Mansour Alsulaiman, and Mohamed A. Mekhtiche. "Automatic Speaker Recognition for Mobile Forensic Applications." Mobile Information Systems 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/6986391.
Full textAbdalrahman, Roaya Salhalden A., Bülent Bolat, and Nihan Kahraman. "A cascaded voice biometric system." Procedia Computer Science 131 (2018): 1223–28. http://dx.doi.org/10.1016/j.procs.2018.04.334.
Full textPark, Hyun, and TaeGuen Kim. "User Authentication Method via Speaker Recognition and Speech Synthesis Detection." Security and Communication Networks 2022 (January 10, 2022): 1–10. http://dx.doi.org/10.1155/2022/5755785.
Full textMamyrbayev, Orken, Aizat Kydyrbekova, Keylan Alimhan, Dina Oralbekova, Bagashar Zhumazhanov, and Bulbul Nuranbayeva. "Development of security systems using DNN and i & x-vector classifiers." Eastern-European Journal of Enterprise Technologies 4, no. 9(112) (August 31, 2021): 32–45. http://dx.doi.org/10.15587/1729-4061.2021.239186.
Full textDissertations / Theses on the topic "Voice biometry"
Lee, Samuel K. "Proof of concept : Iraqi enrollment via voice authentication project /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FLee%5FSamuel.pdf.
Full textThesis Advisor(s): James F. Ehlert, Pat Sankar. Includes bibliographical references (p.271-272). Also available online.
Грушко, Ярослав Володимирович. "Система голосової біометрії, економна до обчислювальних ресурсів." Master's thesis, КПІ ім. Ігоря Сікорського, 2019. https://ela.kpi.ua/handle/123456789/32176.
Full textThe purpose of this work is to create a cost-effective system for voice biometrics. The main purpose of the work was to build a general scheme of such a system as well as determine its components and optimal parameters. The object of study of this master's work is the recognition of human voice by computer. The subject of the study is voice biometrics, ie voice recognition of the individual. Designed system contain three basic modules. The first module is the MFCCs, the algorithm that give off individual voiceprint. The second module is a classifier that has to learn the voiceprints obtained with the first module. The third, and last, module is the verifier, which for the second time (after the classifier) verifies the correct identification of the person. A separate system was developed for parameter selection. Based on the selected optimal parameters, console application of voice biometrics in the Python programming language and a separate java mobile application were created. The accuracy of the console application on a dataset of 80 samples of 40 different individuals was 93%. During authentication, when 6 seconds of speech were been processing, the duration of the console application working was 2 seconds. The first stage of the development of the startup project was completed, namely, the marketing analysis of the startup project was performed.
Atah, Alewo Joshua. "Strategies for template-free direct biometric encryption using voice based features." Thesis, University of Kent, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.544079.
Full textRouse, Kenneth Arthur Gilbert Juan E. "Classifying speakers using voice biometrics In a multimodal world." Auburn, Ala, 2009. http://hdl.handle.net/10415/1824.
Full textFransson, Linda, and Therese Jeansson. "Biometric methods and mobile access control." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5023.
Full textFirc, Anton. "Použitelnost Deepfakes v oblasti kybernetické bezpečnosti." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445534.
Full textAssaad, Firas Souhail. "Biometric Multi-modal User Authentication System based on Ensemble Classifier." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418074931.
Full textVálková, Jana. "Formy zadávání a zpracování textových dat a informací v podnikových IS - trendy a aktuální praxe." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-114263.
Full textSanderson, Conrad, and conradsand@ieee org. "Automatic Person Verification Using Speech and Face Information." Griffith University. School of Microelectronic Engineering, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030422.105519.
Full textТодорів, Андрій Дмитрович. "Система багатофакторної аутентифікації користувачів комп’ютерних систем." Master's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/38366.
Full textTopic relevance The solution to the problem of corporate data protection in the XXI century has gone beyond the physical interaction with employees, due to the transition of the required information into a computer format. This feature has formed the need to develop and implement new mechanisms for corporate data protection. The proposed system of authentication of computer system users, developed on the basis of neural network technologies, provides the possibility of user identification on the basis of individual anthropometric visual and voice indicators of the subject, in order to prevent theft of corporate data and identification of criminal entities. The object of study is the transformation of anthropometric indicators into a computer form. The subject of study is the mechanisms of pattern recognition. The goal of this work is to improve the capabilities of biometric identification methods of subjects by developing a new architecture based on neural networks. Study methods. Comparison of existing algorithms on the criteria of accuracy, speed, resource costs, reliability, in order to implement and further modify the corporate control system. The scientific novelty is the development of a new mechanism for identifying subjects that combines algorithms for voice and visual identification of subjects. The practical value lies in the possibility of using this system in a corporate environment in order to prevent data leakage and identification of criminal entities. Low resource consumption contributes to the application of the developed algorithm in highly loaded systems. Structure and scope of work. The master's dissertation consists of an introduction, four chapters, conclusions and appendices. The introduction analyzes the problem of corporate data protection. The prospects of using the mechanisms of biometric voice and visual identification of subjects for its solution are substantiated. Biometric identification algorithms are investigated. The first section describes the existing algorithms for recognizing visual and voice images. The second section investigates the feasibility of using existing algorithms for voice and visual biometric identification, analyzes and compares existing image recognition architectures. The third section describes the process of developing algorithms for visual and voice biometric user identification The fourth section presents the characteristics of the developed COP, the test results, the system is studied on different data sets, and its modification in order to achieve the specified accuracy. The conclusions summarize the results of research and development.
Books on the topic "Voice biometry"
HOW DOES VOICE RECOGNITION WORK? New York, NY: Gareth Stevens Publishing, 2014.
Find full textHigh-Tech Ids: From Finger Scans to Voice Patterns. Franklin Watts, 2000.
Find full textTocci, Salvatore. High-Tech Ids: From Finger Scans to Voice Patterns. Tandem Library, 2001.
Find full textTocci, Salvatore. High-Tech IDs: From Finger Scans to Voice Patterns. Turtleback Books Distributed by Demco Media, 2000.
Find full textTocci, Salvatore. High-Tech Ids: From Finger Scans to Voice Patterns (Single Title: Science). Franklin Watts, 2000.
Find full textBook chapters on the topic "Voice biometry"
Lupu, E., and M. Cioban. "Voice Biometric System." In IFMBE Proceedings, 239–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04292-8_53.
Full textWankhede, N. S. "Voice-Based Biometric Authentication." In Nanoelectronics, Circuits and Communication Systems, 229–38. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7486-3_22.
Full textFarrell, Kevin, Scott Sharp, and Ron Beyner. "Voice Biometrics for Securing Your Web-Based Business." In Biometric Solutions, 377–92. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1053-6_14.
Full textWang, Houying, and Weiping Hu. "Optimization of Pathological Voice Feature Based on KPCA and SVM." In Biometric Recognition, 394–403. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12484-1_44.
Full textZhao, Qiming, Yingchun Yang, and Hong Li. "A Novel and Efficient Voice Activity Detector Using Shape Features of Speech Wave." In Biometric Recognition, 375–84. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12484-1_42.
Full textOrtega-Garcia, Javier, Joaquin Gonzalez-Rodriguez, Danilo Simon-Zorita, and Santiago Cruz-Llanas. "From Biometrics Technology to Applications Regarding Face, Voice, Signature and Fingerprint Recognition Systems." In Biometric Solutions, 289–337. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1053-6_12.
Full textHimawan, Ivan, Srikanth Madikeri, Petr Motlicek, Milos Cernak, Sridha Sridharan, and Clinton Fookes. "Voice Presentation Attack Detection Using Convolutional Neural Networks." In Handbook of Biometric Anti-Spoofing, 391–415. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-92627-8_17.
Full textPřibilová, Anna, and Jiří Přibil. "Harmonic Model for Female Voice Emotional Synthesis." In Biometric ID Management and Multimodal Communication, 41–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04391-8_6.
Full textBatra, Neera, and Sonali Goyal. "Text-Independent Voice Biometric for User Recognition." In Lecture Notes in Mechanical Engineering, 799–806. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9956-9_77.
Full textSahidullah, Md, Héctor Delgado, Massimiliano Todisco, Tomi Kinnunen, Nicholas Evans, Junichi Yamagishi, and Kong-Aik Lee. "Introduction to Voice Presentation Attack Detection and Recent Advances." In Handbook of Biometric Anti-Spoofing, 321–61. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-92627-8_15.
Full textConference papers on the topic "Voice biometry"
Vilda, Pedro Gomez, Victoria Rodellar Biarge, Cristina Munoz Mulas, Rafael Martinez Olalla, Luis M. Mazaira Fernandez, and Agustin Alvarez Marquina. "Glottal parameter estimation by wavelet transform for voice biometry." In 2011 International Carnahan Conference on Security Technology (ICCST). IEEE, 2011. http://dx.doi.org/10.1109/ccst.2011.6095951.
Full textPires, Fabio, Eduardo Mario Dias, Miguel Edgar Morales Udaeta, and Felippe da Silva Pires. "INTELLIGENT VEHICLE SAFETY SYSTEM FOR FACIAL BIOMETRY AND VOICE TO REDUCE TRANSIT ACCIDENTS." In XXVI Simpósio Internacional de Engenharia Automotiva. São Paulo: Editora Blucher, 2018. http://dx.doi.org/10.5151/simea2018-pap60.
Full textSadkhan, Sattar B., Baheeja K. Al-Shukur, and Ali K. Mattar. "Biometric voice authentication auto-evaluation system." In 2017 Annual Conference on New Trends in Information & Communications Technology Applications (NTICT). IEEE, 2017. http://dx.doi.org/10.1109/ntict.2017.7976100.
Full textMotwani, Rakhi C., Sergiu M. Dascalu, and Frederick C. Harris. "Voice biometric watermarking of 3D models." In 2010 2nd International Conference on Computer Engineering and Technology. IEEE, 2010. http://dx.doi.org/10.1109/iccet.2010.5485658.
Full textSilva, Lucas Gomes da, Álan L. V. Guedes, and Sérgio Colcher. "Using Deep Learning to Recognize People by Face and Voice." In XXV Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/webmedia_estendido.2019.8143.
Full textHernández-Trapote, Álvaro, Beatriz López-Mencía, David Díaz, Rubén Fernández-Pozo, and Javier Caminero. "Embodied conversational agents for voice-biometric interfaces." In the 10th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1452392.1452454.
Full textCamlikaya, Eren, Alisher Kholmatov, and Berrin Yanikoglu. "Multi-biometric templates using fingerprint and voice." In SPIE Defense and Security Symposium, edited by B. V. K. Vijaya Kumar, Salil Prabhakar, and Arun A. Ross. SPIE, 2008. http://dx.doi.org/10.1117/12.777738.
Full textBurks, William Garret, Paola Jaramillo, and Alexander Leonessa. "Development of Electromagnetic Stimulation System to Aid Patients Suffering From Vocal Fold Paralysis." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14562.
Full textChetty, Girija, and Michael Wagner. "Multi-Level Liveness Verification for Face-Voice Biometric Authentication." In 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference. IEEE, 2006. http://dx.doi.org/10.1109/bcc.2006.4341615.
Full textBarbu, Tudor, Adrian Ciobanu, and Mihaela Luca. "Multimodal biometric authentication based on voice, face and iris." In 2015 E-Health and Bioengineering Conference (EHB). IEEE, 2015. http://dx.doi.org/10.1109/ehb.2015.7391373.
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