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Artykuły w czasopismach na temat "Speaker recognition systems"
Gonzalez-Rodriguez, Joaquin. "Evaluating Automatic Speaker Recognition systems: An overview of the NIST Speaker Recognition Evaluations (1996-2014)". Loquens 1, nr 1 (30.06.2014): e007. http://dx.doi.org/10.3989/loquens.2014.007.
Pełny tekst źródłaBouziane, Ayoub, Jamal Kharroubi i 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 (1.12.2017): 3655. http://dx.doi.org/10.11591/ijece.v7i6.pp3655-3663.
Pełny tekst źródłaSingh, Satyanand. "Forensic and Automatic Speaker Recognition System". International Journal of Electrical and Computer Engineering (IJECE) 8, nr 5 (1.10.2018): 2804. http://dx.doi.org/10.11591/ijece.v8i5.pp2804-2811.
Pełny tekst źródłaSingh, Mahesh K., P. Mohana Satya, Vella Satyanarayana i Sridevi Gamini. "Speaker Recognition Assessment in a Continuous System for Speaker Identification". International Journal of Electrical and Electronics Research 10, nr 4 (30.12.2022): 862–67. http://dx.doi.org/10.37391/ijeer.100418.
Pełny tekst źródłaMridha, Muhammad Firoz, Abu Quwsar Ohi, Muhammad Mostafa Monowar, Md Abdul Hamid, Md Rashedul Islam i Yutaka Watanobe. "U-Vectors: Generating Clusterable Speaker Embedding from Unlabeled Data". Applied Sciences 11, nr 21 (27.10.2021): 10079. http://dx.doi.org/10.3390/app112110079.
Pełny tekst źródłaNematollahi, Mohammad Ali, i S. A. R. Al-Haddad. "Distant Speaker Recognition: An Overview". International Journal of Humanoid Robotics 13, nr 02 (25.05.2016): 1550032. http://dx.doi.org/10.1142/s0219843615500322.
Pełny tekst źródłaGarcia‐Romero, Daniel, i Carol Espy‐Wilson. "Automatic speaker recognition: Advances toward informative systems." Journal of the Acoustical Society of America 128, nr 4 (październik 2010): 2394. http://dx.doi.org/10.1121/1.3508584.
Pełny tekst źródłaPadmanabhan, M., L. R. Bahl, D. Nahamoo i M. A. Picheny. "Speaker clustering and transformation for speaker adaptation in speech recognition systems". IEEE Transactions on Speech and Audio Processing 6, nr 1 (1998): 71–77. http://dx.doi.org/10.1109/89.650313.
Pełny tekst źródłaSingh, Satyanand. "Bayesian distance metric learning and its application in automatic speaker recognition systems". International Journal of Electrical and Computer Engineering (IJECE) 9, nr 4 (1.08.2019): 2960. http://dx.doi.org/10.11591/ijece.v9i4.pp2960-2967.
Pełny tekst źródłaKamiński, Kamil A., i Andrzej P. Dobrowolski. "Automatic Speaker Recognition System Based on Gaussian Mixture Models, Cepstral Analysis, and Genetic Selection of Distinctive Features". Sensors 22, nr 23 (1.12.2022): 9370. http://dx.doi.org/10.3390/s22239370.
Pełny tekst źródłaRozprawy doktorskie na temat "Speaker recognition systems"
Neville, Katrina Lee, i katrina neville@rmit edu au. "Channel Compensation for Speaker Recognition Systems". RMIT University. Electrical and Computer Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080514.093453.
Pełny tekst źródłaDu, Toit Ilze. "Non-acoustic speaker recognition". Thesis, Stellenbosch : University of Stellenbosch, 2004. http://hdl.handle.net/10019.1/16315.
Pełny tekst źródłaENGLISH ABSTRACT: In this study the phoneme labels derived from a phoneme recogniser are used for phonetic speaker recognition. The time-dependencies among phonemes are modelled by using hidden Markov models (HMMs) for the speaker models. Experiments are done using firstorder and second-order HMMs and various smoothing techniques are examined to address the problem of data scarcity. The use of word labels for lexical speaker recognition is also investigated. Single word frequencies are counted and the use of various word selections as feature sets are investigated. During April 2004, the University of Stellenbosch, in collaboration with Spescom DataVoice, participated in an international speaker verification competition presented by the National Institute of Standards and Technology (NIST). The University of Stellenbosch submitted phonetic and lexical (non-acoustic) speaker recognition systems and a fused system (the primary system) that fuses the acoustic system of Spescom DataVoice with the non-acoustic systems of the University of Stellenbosch. The results were evaluated by means of a cost model. Based on the cost model, the primary system obtained second and third position in the two categories that were submitted.
AFRIKAANSE OPSOMMING: Hierdie projek maak gebruik van foneem-etikette wat geklassifiseer word deur ’n foneemherkenner en daarna gebruik word vir fonetiese sprekerherkenning. Die tyd-afhanklikhede tussen foneme word gemodelleer deur gebruik te maak van verskuilde Markov modelle (HMMs) as sprekermodelle. Daar word ge¨eksperimenteer met eerste-orde en tweede-orde HMMs en verskeie vergladdingstegnieke word ondersoek om dataskaarsheid aan te spreek. Die gebruik van woord-etikette vir sprekerherkenning word ook ondersoek. Enkelwoordfrekwensies word getel en daar word ge¨eksperimenteer met verskeie woordseleksies as kenmerke vir sprekerherkenning. Gedurende April 2004 het die Universiteit van Stellenbosch in samewerking met Spescom DataVoice deelgeneem aan ’n internasionale sprekerverifikasie kompetisie wat deur die National Institute of Standards and Technology (NIST) aangebied is. Die Universiteit van Stellenbosch het ingeskryf vir ’n fonetiese en ’n woordgebaseerde (nie-akoestiese) sprekerherkenningstelsel, asook ’n saamgesmelte stelsel wat as primˆere stelsel dien. Die saamgesmelte stelsel is ’n kombinasie van Spescom DataVoice se akoestiese stelsel en die twee nie-akoestiese stelsels van die Universiteit van Stellenbosch. Die resultate is ge¨evalueer deur gebruik te maak van ’n koste-model. Op grond van die koste-model het die primˆere stelsel tweede en derde plek behaal in die twee kategorie¨e waaraan deelgeneem is.
Shou-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.
Pełny tekst źródłaUzuner, Halil. "Robust text-independent speaker recognition over telecommunications systems". Thesis, University of Surrey, 2006. http://epubs.surrey.ac.uk/843391/.
Pełny tekst źródłaWildermoth, Brett Richard, i n/a. "Text-Independent Speaker Recognition Using Source Based Features". Griffith University. School of Microelectronic Engineering, 2001. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20040831.115646.
Pełny tekst źródłaWildermoth, Brett Richard. "Text-Independent Speaker Recognition Using Source Based Features". Thesis, Griffith University, 2001. http://hdl.handle.net/10072/366289.
Pełny tekst źródłaThesis (Masters)
Master of Philosophy (MPhil)
School of Microelectronic Engineering
Faculty of Engineering and Information Technology
Full Text
Adami, André Gustavo. "Modeling prosodic differences for speaker and language recognition /". Full text open access at:, 2004. http://content.ohsu.edu/u?/etd,19.
Pełny tekst źródłaYu, K. P. "Text dependency and adaptation in training speaker recognition systems". Thesis, Swansea University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.636721.
Pełny tekst źródłaWark, Timothy J. "Multi-modal speech processing for automatic speaker recognition". Thesis, Queensland University of Technology, 2001.
Znajdź pełny tekst źródłaMathan, Luc Stefan. "Speaker-independent access to a large lexicon". Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=63773.
Pełny tekst źródłaKsiążki na temat "Speaker recognition systems"
Fundamentals of speaker recognition. New York: Springer, 2011.
Znajdź pełny tekst źródłaChristian, Müller, red. Speaker classification. Berlin: Springer, 2007.
Znajdź pełny tekst źródłaMeisel, 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.
Znajdź pełny tekst źródłaSabourin, Conrad. Computational speech processing: Speech analysis, recognition, understanding, compression, transmission, coding, synthesis, text to speech systems, speech to tactile displays, speaker identification, prosody processing : bibliography. Montréal: Infolingua, 1994.
Znajdź pełny tekst źródłaRussell, M. J. The development of the speaker independent ARM continuous speech recognition system. [London: Controller, H.M.S.O., 1992.
Znajdź pełny tekst źródłaFranz, Gerl, Minker Wolfgang i SpringerLink (Online service), red. Self-Learning Speaker Identification: A System for Enhanced Speech Recognition. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Znajdź pełny tekst źródłaBeigi, Homayoon. Fundamentals of Speaker Recognition. Springer, 2016.
Znajdź pełny tekst źródłaGallardo, Laura Fernández. Human and Automatic Speaker Recognition over Telecommunication Channels. Springer, 2015.
Znajdź pełny tekst źródłaSpeaker Classification. Springer, 2007.
Znajdź pełny tekst źródłaMüller, Christian. Speaker Classification I: Fundamentals, Features, and Methods. Springer London, Limited, 2007.
Znajdź pełny tekst źródłaCzęści książek na temat "Speaker recognition systems"
Ghate, P. M., Shraddha Chadha, Aparna Sundar i Ankita Kambale. "Automatic Speaker Recognition System". W Advances in Intelligent Systems and Computing, 1037–44. New Delhi: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-0740-5_126.
Pełny tekst źródłaKatrak, Kayan K., Kanishk Singh, Aayush Shah, Rohit Menon i V. R. Badri Prasad. "Transformers for Speaker Recognition". W Machine Learning and Autonomous Systems, 49–62. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7996-4_5.
Pełny tekst źródłaGlasser, Avery. "Designing Better Speaker Verification Systems: Bridging the Gap between Creators and Implementers of Investigatory Voice Biometric Technologies". W Forensic Speaker Recognition, 511–27. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0263-3_18.
Pełny tekst źródłaMartin, Alvin, Mark Przybocki i Joseph P. Campbell. "The NIST speaker recognition evaluation program". W Biometric Systems, 241–62. London: Springer London, 2005. http://dx.doi.org/10.1007/1-84628-064-8_8.
Pełny tekst źródłaKoolagudi, Shashidhar G., Kritika Sharma i K. Sreenivasa Rao. "Speaker Recognition in Emotional Environment". W Eco-friendly Computing and Communication Systems, 117–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32112-2_15.
Pełny tekst źródłaReturi, Kanaka Durga, Y. Radhika i Vaka Murali Mohan. "A Simple Method for Speaker Recognition and Speaker Verification". W Advances in Intelligent Systems and Computing, 663–72. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5400-1_64.
Pełny tekst źródłaHemakumar, G., i P. Punitha. "Large Vocabulary Speech Recognition: Speaker Dependent and Speaker Independent". W Advances in Intelligent Systems and Computing, 73–80. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2250-7_8.
Pełny tekst źródłaShulipa, Andrey, Sergey Novoselov i Yuri Matveev. "Scores Calibration in Speaker Recognition Systems". W Speech and Computer, 596–603. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43958-7_72.
Pełny tekst źródłaHatem, Ahmed Samit, Muthanna J. Adulredhi, Ali M. Abdulrahman i Mohammed A. Fadhel. "Human Speaker Recognition Based Database Method". W Advances in Intelligent Systems and Computing, 1145–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71187-0_106.
Pełny tekst źródłaRajendran, Sindhu, Meghamadhuri Vakil, Praveen Kumar Gupta, Lingayya Hiremath, S. Narendra Kumar i Ajeet Kumar Srivastava. "An Overview of the Concept of Speaker Recognition". W Intelligent Systems, 107–24. Includes bibliographical references and index.: Apple Academic Press, 2019. http://dx.doi.org/10.1201/9780429265020-6.
Pełny tekst źródłaStreszczenia konferencji na temat "Speaker recognition systems"
Kohler, M. A., W. D. Andrews, J. P. Campbell i J. Herndndez-Cordero. "Phonetic speaker recognition". W Conference Record. Thirty-Fifth Asilomar Conference on Signals, Systems and Computers. IEEE, 2001. http://dx.doi.org/10.1109/acssc.2001.987748.
Pełny tekst źródłaBadji, Aliou, Youssou Dieng, Ibrahima Diop, Papa Alioune Cisse i Boubacar Diouf. "Automatic Speaker Recognition (ASR)". W ICIST '20: 10th International Conference on Information Systems and Technologies. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3447568.3448544.
Pełny tekst źródłaZhu, Jian-wei, Shui-fa Sun, Xiao-li Liu i Bang-jun Lei. "Pitch in Speaker Recognition". W 2009 Ninth International Conference on Hybrid Intelligent Systems (HIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/his.2009.14.
Pełny tekst źródłaHeck, Larry P., i Dominique Genoud. "Combining speaker and speech recognition systems". W 7th International Conference on Spoken Language Processing (ICSLP 2002). ISCA: ISCA, 2002. http://dx.doi.org/10.21437/icslp.2002-415.
Pełny tekst źródłaPandey, Bipul, Alok Ranjan, Rajeev Kumar i Anupam Shukla. "Multilingual speaker recognition using ANFIS". W 2010 2nd International Conference on Signal Processing Systems (ICSPS). IEEE, 2010. http://dx.doi.org/10.1109/icsps.2010.5555759.
Pełny tekst źródła"SPEAKER RECOGNITION USING DECISION FUSION". W International Conference on Bio-inspired Systems and Signal Processing. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001065502670272.
Pełny tekst źródłaKadyrov, Shirali, Cemil Turan, Altynbek Amirzhanov i Cemal Ozdemir. "Speaker Recognition from Spectrogram Images". W 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST). IEEE, 2021. http://dx.doi.org/10.1109/sist50301.2021.9465954.
Pełny tekst źródłaFei, Wanchun, Liangjun Xu i Xingxing Lu. "Speaker recognition on nonstationary characteristics". W 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2010. http://dx.doi.org/10.1109/fskd.2010.5569783.
Pełny tekst źródłaSelvan, Karthik, Aju Joseph i K. K. Anish Babu. "Speaker recognition system for security applications". W 2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 2013. http://dx.doi.org/10.1109/raics.2013.6745441.
Pełny tekst źródłaSlyh, Raymond, Eric Hansen i Brian Ore. "The 2005 AFRL/HEC One-Speaker Detection Systems". W 2006 IEEE Odyssey - The Speaker and Language Recognition Workshop. IEEE, 2006. http://dx.doi.org/10.1109/odyssey.2006.248119.
Pełny tekst źródłaRaporty organizacyjne na temat "Speaker recognition systems"
Slyh, Raymond E., Eric G. Hansen i Timothy R. Anderson. AFRL/HECP Speaker Recognition Systems for the 2004 NIST Speaker Recognition Evaluation. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2004. http://dx.doi.org/10.21236/ada430750.
Pełny tekst źródłaFerrer, Luciana, Mitchell McLaren, Nicolas Scheffer, Yun Lei, Martin Graciarena i Vikramjit Mitra. A Noise-Robust System for NIST 2012 Speaker Recognition Evaluation. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2013. http://dx.doi.org/10.21236/ada614010.
Pełny tekst źródłaRemus, Jeremiah. Advanced Subspace Techniques for Modeling Channel and Session Variability in a Speaker Recognition System. Fort Belvoir, VA: Defense Technical Information Center, marzec 2012. http://dx.doi.org/10.21236/ada557785.
Pełny tekst źródłaIssues in Data Processing and Relevant Population Selection. OSAC Speaker Recognition Subcommittee, listopad 2022. http://dx.doi.org/10.29325/osac.tg.0006.
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