Auswahl der wissenschaftlichen Literatur zum Thema „Speaker verification system“
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Zeitschriftenartikel zum Thema "Speaker verification system"
Watari, Masao. „Speaker verification system“. Journal of the Acoustical Society of America 91, Nr. 1 (Januar 1992): 546. http://dx.doi.org/10.1121/1.402663.
Der volle Inhalt der QuelleSakoe, Hiroaki. „Speaker verification system“. Journal of the Acoustical Society of America 85, Nr. 5 (Mai 1989): 2246. http://dx.doi.org/10.1121/1.397806.
Der volle Inhalt der QuelleUchiyama, Hiroki. „Speaker verification system“. Journal of the Acoustical Society of America 95, Nr. 1 (Januar 1994): 593. http://dx.doi.org/10.1121/1.408274.
Der volle Inhalt der QuelleShanmugapriya, P., und Y. Venkataramani. „Analysis of Speaker Verification System Using Support Vector Machine“. JOURNAL OF ADVANCES IN CHEMISTRY 13, Nr. 10 (25.02.2017): 6531–42. http://dx.doi.org/10.24297/jac.v13i10.5839.
Der volle Inhalt der QuelleGada, Amay, Neel Kothari, Ruhina Karani, Chetashri Badane, Dhruv Gada und Tanish Patwa. „DR-SASV: A deep and reliable spoof aware speech verification system“. International Journal on Information Technologies and Security 15, Nr. 4 (01.12.2023): 93–106. http://dx.doi.org/10.59035/ffmb8272.
Der volle Inhalt der QuelleMammone, Richard J. „Speaker identification and verification system“. Journal of the Acoustical Society of America 101, Nr. 2 (Februar 1997): 665. http://dx.doi.org/10.1121/1.419408.
Der volle Inhalt der QuelleRabin, Michael D. „Speaker verification system and process“. Journal of the Acoustical Society of America 103, Nr. 6 (Juni 1998): 3138. http://dx.doi.org/10.1121/1.423030.
Der volle Inhalt der QuelleMilewski, Krzysztof, Szymon Zaporowski und Andrzej Czyżewski. „Comparison of the Ability of Neural Network Model and Humans to Detect a Cloned Voice“. Electronics 12, Nr. 21 (30.10.2023): 4458. http://dx.doi.org/10.3390/electronics12214458.
Der volle Inhalt der QuelleBouziane, Ayoub, Jamal Kharroubi und Arsalane Zarghili. „Towards an Optimal Speaker Modeling in Speaker Verification Systems using Personalized Background Models“. International Journal of Electrical and Computer Engineering (IJECE) 7, Nr. 6 (01.12.2017): 3655. http://dx.doi.org/10.11591/ijece.v7i6.pp3655-3663.
Der volle Inhalt der QuellePham, Tuan, und Michael Wagner. „Speaker Verification with Fuzzy Fusion and Genetic Optimization“. Journal of Advanced Computational Intelligence and Intelligent Informatics 3, Nr. 6 (20.12.1999): 451–56. http://dx.doi.org/10.20965/jaciii.1999.p0451.
Der volle Inhalt der QuelleDissertationen zum Thema "Speaker verification system"
Nosratighods, Mohaddeseh Electrical Engineering & Telecommunications Faculty of Engineering UNSW. „Robust speaker verification system“. Publisher:University of New South Wales. Electrical Engineering & Telecommunications, 2008. http://handle.unsw.edu.au/1959.4/42796.
Der volle Inhalt der QuelleSarma, Sridevi Vedula. „A segment-based speaker verification system using SUMMIT“. Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43406.
Der volle Inhalt der QuelleIncludes bibliographical references (p. 75-79).
by Sridevi Vedula Sarma.
M.S.
Zhou, Yichao. „Lip password-based speaker verification system with unknown language alphabet“. HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/562.
Der volle Inhalt der QuelleMtibaa, Aymen. „Towards robust and privacy-preserving speaker verification systems“. Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAS002.
Der volle Inhalt der QuelleSpeaker verification systems are a key technology in many devices and services like smartphones, intelligent digital assistants, healthcare, and banking applications. Additionally, with the COVID pandemic, access control systems based on fingerprint scanners or keypads increase the risk of virus propagation. Therefore, companies are now rethinking their employee access control systems and considering touchless authorization technologies, such as speaker verification systems.However, speaker verification system requires users to transmit their recordings, features, or models derived from their voice samples without any obfuscation over untrusted public networks which stored and processed them on a cloud-based infrastructure. If the system is compromised, an adversary can use this biometric information to impersonate the genuine user and extract personal information. The voice samples may contain information about the user's gender, accent, ethnicity, and health status which raises several privacy issues.In this context, the present PhD Thesis address the privacy and security issues for speaker verification systems based on Gaussian mixture models (GMM), i-vector, and x-vector as speaker modeling. The objective is the development of speaker verification systems that perform biometric verification while preserving the privacy and the security of the user. To that end, we proposed biometric protection schemes for speaker verification systems to achieve the privacy requirements (revocability, unlinkability, irreversibility) described in the standard ISO/IEC IS~24745 on biometric information protection and to improve the robustness of the systems against different attack scenarios
Li, Yi. „Speaker Diarization System for Call-center data“. Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-286677.
Der volle Inhalt der QuelleFör att svara på frågan vem som talade när är högtalardarisering (SD) ett kritiskt steg för många talapplikationer i praktiken. Uppdraget med vårt projekt är att bygga ett MFCC-vektorbaserat högtalar-diariseringssystem ovanpå ett högtalarverifieringssystem (SV), som är ett befintligt Call-center-program för att kontrollera kundens identitet från ett telefonsamtal. Vårt högtalarsystem använder 13-dimensionella MFCC: er som funktioner, utför Voice Active Detection (VAD), segmentering, linjär gruppering och hierarkisk gruppering baserat på GMM och BIC-poäng. Genom att tillämpa den minskar vi EER (Equal Error Rate) från 18,1 % i baslinjeexperimentet till 3,26 % för de allmänna samtalscentret. För att bättre analysera och utvärdera systemet simulerade vi också en uppsättning callcenter-data baserat på de offentliga ljuddatabaserna ICSI corpus.
Guo, Yunfei. „Personalized Voice Activated Grasping System for a Robotic Exoskeleton Glove“. Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/101751.
Der volle Inhalt der QuelleMaster of Science
The robotic exoskeleton glove used in this research is designed to help patients with hand disabilities. This thesis proposes a voice-activated grasping system to control the exoskeleton glove. Here, the user can use a self-defined keyword to activate the exoskeleton and use voice to control the exoskeleton. The voice command system can distinguish between different users' voices, thereby improving the safety of the glove control. A smartphone is used to process the voice commands and send them to an onboard computer on the exoskeleton glove. The exoskeleton glove then accurately applies force to each fingertip using a force feedback actuator.This study focused on designing a state of the art human machine interface to control an exoskeleton glove and perform an accurate and stable grasp.
Bekli, Zeid, und William Ouda. „A performance measurement of a Speaker Verification system based on a variance in data collection for Gaussian Mixture Model and Universal Background Model“. Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20122.
Der volle Inhalt der QuelleShou-Chun, Yin 1980. „Speaker adaptation in joint factor analysis based text independent speaker verification“. Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100735.
Der volle Inhalt der QuelleChan, Siu Man. „Improved speaker verification with discrimination power weighting /“. View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202004%20CHANS.
Der volle Inhalt der QuelleIncludes bibliographical references (leaves 86-93). Also available in electronic version. Access restricted to campus users.
Cilliers, Francois Dirk. „Tree-based Gaussian mixture models for speaker verification“. Thesis, Link to the online version, 2005. http://hdl.handle.net/10019.1/1639.
Der volle Inhalt der QuelleBücher zum Thema "Speaker verification system"
Meisel, William S. The telephony voice user interface: Applications of speech recognition, text-to-speech, and speaker verification over the telephone. Tarzana, CA: TMA Associates, 1998.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Speaker verification system"
Lee, Tae-Seung, und Byong-Won Hwang. „Continuants Based Neural Speaker Verification System“. In MICAI 2004: Advances in Artificial Intelligence, 89–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24694-7_10.
Der volle Inhalt der QuelleHong, Qingyang, Sheng Wang und Zhijian Liu. „A Robust Speaker-Adaptive and Text-Prompted Speaker Verification System“. In Biometric Recognition, 385–93. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12484-1_43.
Der volle Inhalt der QuelleNaika, Ravika. „An Overview of Automatic Speaker Verification System“. In Intelligent Computing and Information and Communication, 603–10. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7245-1_59.
Der volle Inhalt der QuellePadrta, Aleš, und Jan Vaněk. „Introduction of Improved UWB Speaker Verification System“. In Text, Speech and Dialogue, 364–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11551874_47.
Der volle Inhalt der QuelleRakhmanenko, Ivan, Evgeny Kostyuchenko, Evgeny Choynzonov, Lidiya Balatskaya und Alexander Shelupanov. „Score Normalization of X-Vector Speaker Verification System for Short-Duration Speaker Verification Challenge“. In Speech and Computer, 457–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60276-5_44.
Der volle Inhalt der QuellePadrta, Aleš, und Jan Vaněk. „A Structure of Expert System for Speaker Verification“. In Text, Speech and Dialogue, 493–500. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11846406_62.
Der volle Inhalt der QuelleSakaguchi, Yuki, Rin Hirakawa, Hideki Kawano, Kenichi Nakashi und Yoshihisa Nakatoh. „Speaker Verification Method Using HTM for Security System“. In Human Interaction, Emerging Technologies and Future Applications III, 160–65. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55307-4_25.
Der volle Inhalt der QuelleLee, Younjeong, Changwoo Seo, Joohun Lee und Ki Yong Lee. „Speaker Verification System for PDA in Mobile-Commerce“. In Web and Communication Technologies and Internet-Related Social Issues — HSI 2003, 668–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45036-x_73.
Der volle Inhalt der QuelleGanchev, Todor, Nikos Fakotakis und George Kokkinakis. „Text-Independent Speaker Verification: The WCL-1 System“. In Text, Speech and Dialogue, 263–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39398-6_37.
Der volle Inhalt der QuelleLavrentyeva, Galina, Sergey Novoselov und Konstantin Simonchik. „Anti-spoofing Methods for Automatic Speaker Verification System“. In Communications in Computer and Information Science, 172–84. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52920-2_17.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Speaker verification system"
Zheng, Yu, Jinghan Peng, Yihao Chen, Yajun Zhang, Jialong Wang, Min Liu und Minqiang Xu. „The SpeakIn Speaker Verification System for Far-Field Speaker Verification Challenge 2022“. In The 2022 Far-field Speaker Verification Challenge (FFSVC2022). ISCA: ISCA, 2022. http://dx.doi.org/10.21437/ffsvc.2022-4.
Der volle Inhalt der QuelleKahn, Juliette, Nicolas Audibert, Solange Rossato und Jean-Francois Bonastre. „Speaker verification by inexperienced and experienced listeners vs. speaker verification system“. In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5947707.
Der volle Inhalt der QuelleZhang, Li, Jian Wu und Lei Xie. „NPU Speaker Verification System for INTERSPEECH 2020 Far-Field Speaker Verification Challenge“. In Interspeech 2020. ISCA: ISCA, 2020. http://dx.doi.org/10.21437/interspeech.2020-2688.
Der volle Inhalt der QuelleLei, Yuan, Zhou Cao, Dehui Kong und Ke Xu. „ZXIC Speaker Verification System for FFSVC 2022 Challenge“. In The 2022 Far-field Speaker Verification Challenge (FFSVC2022). ISCA: ISCA, 2022. http://dx.doi.org/10.21437/ffsvc.2022-1.
Der volle Inhalt der QuelleYou, Changhuai, Kong Aik Lee, Bin Ma und Haizhou Li. „Text-Dependent Speaker Verification System in VHF Communication Channel“. In The Speaker and Language Recognition Workshop (Odyssey 2014). ISCA: ISCA, 2014. http://dx.doi.org/10.21437/odyssey.2014-33.
Der volle Inhalt der QuelleLee, Kong Aik, Hitoshi Yamamoto, Koji Okabe, Qiongqiong Wang, Ling Guo, Takafumi Koshinaka, Jiacen Zhang und Koichi Shinoda. „The NEC-TT 2018 Speaker Verification System“. In Interspeech 2019. ISCA: ISCA, 2019. http://dx.doi.org/10.21437/interspeech.2019-1517.
Der volle Inhalt der QuelleFaisal, Muhammad Yusuf, und Suyanto Suyanto. „SpecAugment Impact on Automatic Speaker Verification System“. In 2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). IEEE, 2019. http://dx.doi.org/10.1109/isriti48646.2019.9034603.
Der volle Inhalt der QuelleDehak, Najim, Zahi N. Karam, Douglas A. Reynolds, Reda Dehak, William M. Campbell und James R. Glass. „A channel-blind system for speaker verification“. In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5947363.
Der volle Inhalt der QuelleZajic, Zbynek, und Marek Hruz. „Fisher vectors in PLDA speaker verification system“. In 2016 IEEE 13th International Conference on Signal Processing (ICSP). IEEE, 2016. http://dx.doi.org/10.1109/icsp.2016.7878044.
Der volle Inhalt der QuelleDebnath, Saswati, B. Soni, U. Baruah und D. K. Sah. „Text-dependent speaker verification system: A review“. In 2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2015. http://dx.doi.org/10.1109/isco.2015.7282386.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Speaker verification system"
Heide, David A. Evaluation and Improvement of a Speaker Verification System in Military Environments. Fort Belvoir, VA: Defense Technical Information Center, Dezember 2002. http://dx.doi.org/10.21236/ada409777.
Der volle Inhalt der QuelleMizrach, Amos, Michal Mazor, Amots Hetzroni, Joseph Grinshpun, Richard Mankin, Dennis Shuman, Nancy Epsky und Robert Heath. Male Song as a Tool for Trapping Female Medflies. United States Department of Agriculture, Dezember 2002. http://dx.doi.org/10.32747/2002.7586535.bard.
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