Academic literature on the topic 'Voice recognition'
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Journal articles on the topic "Voice recognition"
Sangani, K. "Inner voice [voice recognition]." Engineering & Technology 8, no. 7 (August 1, 2013): 36–37. http://dx.doi.org/10.1049/et.2013.0717.
Full textMehta, Amit, and Theresa C. McLoud. "Voice Recognition." Journal of Thoracic Imaging 18, no. 3 (July 2003): 178–82. http://dx.doi.org/10.1097/00005382-200307000-00007.
Full textSchreiber, Melvyn H. "Voice recognition." Academic Radiology 5, no. 12 (December 1998): 871–72. http://dx.doi.org/10.1016/s1076-6332(98)80251-1.
Full textSchweinberger, Stefan R., Anja Herholz, and Volker Stief. "Auditory Long term Memory: Repetition Priming of Voice Recognition." Quarterly Journal of Experimental Psychology Section A 50, no. 3 (August 1997): 498–517. http://dx.doi.org/10.1080/713755724.
Full textDoyle, Sean. "Determining voice recognition accuracy in a voice recognition system." Journal of the Acoustical Society of America 128, no. 2 (2010): 964. http://dx.doi.org/10.1121/1.3481753.
Full textPlante-Hébert, Julien, Victor J. Boucher, and Boutheina Jemel. "The processing of intimately familiar and unfamiliar voices: Specific neural responses of speaker recognition and identification." PLOS ONE 16, no. 4 (April 16, 2021): e0250214. http://dx.doi.org/10.1371/journal.pone.0250214.
Full textHaag, Andreas. "VOICE CONTROL WITH SEMANTIC VOICE RECOGNITION." ATZelektronik worldwide 7, no. 6 (October 2012): 50–53. http://dx.doi.org/10.1365/s38314-012-0136-8.
Full textSearcy, Gus, and Franz Kavan. "Voice recognition system." Journal of the Acoustical Society of America 93, no. 6 (June 1993): 3541–42. http://dx.doi.org/10.1121/1.405347.
Full textSearcy, Gus. "Voice recognition system." Journal of the Acoustical Society of America 94, no. 2 (August 1993): 1181. http://dx.doi.org/10.1121/1.406911.
Full textMuroi, Tetsuya. "Voice recognition system." Journal of the Acoustical Society of America 90, no. 3 (September 1991): 1711. http://dx.doi.org/10.1121/1.401729.
Full textDissertations / Theses on the topic "Voice recognition"
Kamarauskas, Juozas. "Speaker recognition by voice." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2009~D_20090615_093847-20773.
Full textDisertacijoje nagrinėjami kalbančiojo atpažinimo pagal balsą klausimai. Aptartos kalbančiojo atpažinimo sistemos, jų raida, atpažinimo problemos, požymių sistemos įvairovė bei kalbančiojo modeliavimo ir požymių palyginimo metodai, naudojami nuo ištarto teksto nepriklausomame bei priklausomame kalbančiojo atpažinime. Darbo metu sukurta nuo ištarto teksto nepriklausanti kalbančiojo atpažinimo sistema. Kalbėtojų modelių kūrimui ir požymių palyginimui buvo panaudoti Gauso mišinių modeliai. Pasiūlytas automatinis vokalizuotų garsų išrinkimo (segmentavimo) metodas. Šis metodas yra greitai veikiantis ir nereikalaujantis iš vartotojo jokių papildomų veiksmų, tokių kaip kalbos signalo ir triukšmo pavyzdžių nurodymas. Pasiūlyta požymių vektorių sistema, susidedanti iš žadinimo signalo bei balso trakto parametrų. Kaip žadinimo signalo parametras, panaudotas žadinimo signalo pagrindinis dažnis, kaip balso trakto parametrai, panaudotos keturios formantės bei trys antiformantės. Siekiant suvienodinti žemesnių bei aukštesnių formančių ir antiformančių dispersijas, jas pasiūlėme skaičiuoti melų skalėje. Rezultatų palyginimui sistemoje buvo realizuoti standartiniai požymiai, naudojami kalbos bei asmens atpažinime – melų skalės kepstro koeficientai (MSKK). Atlikti kalbančiojo atpažinimo eksperimentai parodė, kad panaudojus pasiūlytą požymių sistemą buvo gauti geresni atpažinimo rezultatai, nei panaudojus standartinius požymius (MSKK). Gautas lygių klaidų lygis, panaudojant pasiūlytą požymių... [toliau žr. visą tekstą]
Al-Kilani, Menia. "Voice-signature-based Speaker Recognition." University of the Western Cape, 2017. http://hdl.handle.net/11394/5888.
Full textPersonal identification and the protection of data are important issues because of the ubiquitousness of computing and these have thus become interesting areas of research in the field of computer science. Previously people have used a variety of ways to identify an individual and protect themselves, their property and their information. This they did mostly by means of locks, passwords, smartcards and biometrics. Verifying individuals by using their physical or behavioural features is more secure than using other data such as passwords or smartcards, because everyone has unique features which distinguish him or her from others. Furthermore the biometrics of a person are difficult to imitate or steal. Biometric technologies represent a significant component of a comprehensive digital identity solution and play an important role in security. The technologies that support identification and authentication of individuals is based on either their physiological or their behavioural characteristics. Live-‐data, in this instance the human voice, is the topic of this research. The aim is to recognize a person’s voice and to identify the user by verifying that his/her voice is the same as a record of his / her voice-‐signature in a systems database. To address the main research question: “What is the best way to identify a person by his / her voice signature?”, design science research, was employed. This methodology is used to develop an artefact for solving a problem. Initially a pilot study was conducted using visual representation of voice signatures, to check if it is possible to identify speakers without using feature extraction or matching methods. Subsequently, experiments were conducted with 6300 data sets derived from Texas Instruments and the Massachusetts Institute of Technology audio database. Two methods of feature extraction and classification were considered—mel frequency cepstrum coefficient and linear prediction cepstral coefficient feature extraction—and for classification, the Support Vector Machines method was used. The three methods were compared in terms of their effectiveness and it was found that the system using the mel frequency cepstrum coefficient, for feature extraction, gave the marginally better results for speaker recognition.
Alkilani, Menia Mohamed. "Voice signature based Speaker Recognition." University of the Western Cape, 2017. http://hdl.handle.net/11394/6196.
Full textPersonal identification and the protection of data are important issues because of the ubiquitousness of computing and these havethus become interesting areas of research in the field of computer science. Previously people have used a variety of ways to identify an individual and protect themselves, their property and their information.
Laird, Esther. "Voice recognition and auditory-visual integration in person recognition." Thesis, University of Sussex, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487906.
Full textClotworthy, Christopher John. "A study of automated voice recognition." Thesis, Queen's University Belfast, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.356909.
Full textDamjanovic, Ljubica. "Memory processes in familiar voice recognition." Thesis, University of Essex, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413126.
Full textVipperla, Ravichander. "Automatic Speech Recognition for ageing voices." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5725.
Full textIliadi, Konstantina. "Bio-inspired voice recognition for speaker identification." Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/413949/.
Full textSanders, Richard Calvin. "Voice recognition system implementation and laboratory exercise." Master's thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-01262010-020212/.
Full textHo, Ching-Hsiang. "Speaker modelling for voice conversion." Thesis, Brunel University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365076.
Full textBooks on the topic "Voice recognition"
Robert, Rodman, ed. Voice recognition. Boston: Artech House, 1997.
Find full textGoldman, Thomas F. Voice Xpress: Basic skills in voice recognition. Upper Saddle River, NJ: Prentice Hall, 2001.
Find full textKutza, Patricia. Voice recognition: Technologies, markets, opportunities. Norwalk, CT: Business Communications Co., 2002.
Find full textHOW DOES VOICE RECOGNITION WORK? New York, NY: Gareth Stevens Publishing, 2014.
Find full textBaumgarten, Alan. Dragon NaturallySpeaking quicktorial: Voice recognition software. Cincinnati: South-Western Educational Pub., 2000.
Find full textUnited States. Social Security Administration. Technology Assessment and Forecasting Group. ADP voice technology: Speech recognition and speech synthesis. [Washington, D.C.?]: U.S. Social Security Administration, 1985.
Find full textVoice recognition: 21 poets for the 21st century. Tarset, Northumberland [England]: Bloodaxe Books, 2009.
Find full textUnited States. Social Security Administration. Technology Assessment and Forecasting Group. ADP voice technology: Speech recognition and speech synthesis. [Washington, D.C.?]: U.S. Social Security Administration, 1985.
Find full textNorth Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Speech analysis and synthesis and man-machine speech communications for air operations. Neuilly sur Seine, France: AGARD, 1990.
Find full textMarkowitz, Judith A. Voice ID source profiles. [Evanston, IL]: J. Markowitz, 1997.
Find full textBook chapters on the topic "Voice recognition"
Mehta, Amit. "Voice Recognition." In PACS, 281–302. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4757-3651-9_11.
Full textMathias, Samuel Robert, and Katharina von Kriegstein. "Voice Processing and Voice-Identity Recognition." In Timbre: Acoustics, Perception, and Cognition, 175–209. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14832-4_7.
Full textCalvo, Andres. "Gesture and Voice Recognition." In Beginning Android Wearables, 349–79. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0517-4_10.
Full textAnanthapadmanabha, T. V. "Aerodynamic and Acoustic Theory of Voice Production." In Forensic Speaker Recognition, 309–63. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0263-3_12.
Full textJarng, Soon Suck. "Korean Voice Recognition System Development." In Lecture Notes in Electrical Engineering, 31–41. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2598-0_4.
Full textBahreini, Kiavash, Rob Nadolski, and Wim Westera. "FILTWAM and Voice Emotion Recognition." In Lecture Notes in Computer Science, 116–29. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12157-4_10.
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 textOtake, Yasutaka, Yasuhiro Tajima, and Matsuaki Terada. "A SIP-Based Voice-Mail System with Voice Recognition." In Lecture Notes in Computer Science, 985–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25978-7_99.
Full textLleida, E., J. B. Mariño, J. Salavedra, and A. Moreno. "Keyword Spotting, an Application for Voice Dialing." In Speech Recognition and Coding, 276–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-57745-1_40.
Full textBackes, Michael, Goran Doychev, Markus Dürmuth, and Boris Köpf. "Speaker Recognition in Encrypted Voice Streams." In Computer Security – ESORICS 2010, 508–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15497-3_31.
Full textConference papers on the topic "Voice recognition"
Chen, Shubo, Binsen Qian, and Harry Cheng. "Voice Recognition for STEM Education Using Robotics." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68368.
Full textDittrich, Toby, and Sequoia Star. "Introducing Voice Recognition into Higher Education." In Fourth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/head18.2018.8080.
Full textTymchenko, Oleksandr, Bohdana Havrysh, Oleksandr O. Tymchenko, Orest Khamula, Bohdan Kovalskyi, and Kateryna Havrysh. "Person Voice Recognition Methods." In 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP). IEEE, 2020. http://dx.doi.org/10.1109/dsmp47368.2020.9204023.
Full textDugdale, Anni, and Ben Kraal. "Magistrates and voice recognition." In the 20th conference of the computer-human interaction special interest group (CHISIG) of Australia. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1228175.1228199.
Full textPołap, Dawid. "Neuro-heuristic voice recognition." In 2016 Federated Conference on Computer Science and Information Systems. IEEE, 2016. http://dx.doi.org/10.15439/2016f128.
Full textBerdibaeva, Gulmira K., Oleg N. Bodin, Valery V. Kozlov, Dmitry I. Nefed'ev, Kasymbek A. Ozhikenov, and Yaroslav A. Pizhonkov. "Pre-processing voice signals for voice recognition systems." In 2017 18th International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM). IEEE, 2017. http://dx.doi.org/10.1109/edm.2017.7981748.
Full textYe-Yi Wang. "Voice search - Information access via voice queries." In 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU). IEEE, 2007. http://dx.doi.org/10.1109/asru.2007.4430095.
Full textKhotimah, Khusnul, Agus Budi Santoso, Miftahul Ma'arif, Alfiantin Noor Azhiimah, Bambang Suprianto, Meini Sondang Sumbawati, and Tri Rijanto. "Validation of Voice Recognition in Various Google Voice Languages using Voice Recognition Module V3 Based on Microcontroller." In 2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE). IEEE, 2020. http://dx.doi.org/10.1109/icvee50212.2020.9243184.
Full textSoon Suck Jarng. "HMM Voice Recognition Algorithm Coding." In 2011 International Conference on Information Science and Applications (ICISA 2011). IEEE, 2011. http://dx.doi.org/10.1109/icisa.2011.5772321.
Full textHiggins, Alan, L. Bahler, J. Porter, and P. Blais. "Robust matching for voice recognition." In SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, edited by Richard J. Mammone and J. David Murley, Jr. SPIE, 1994. http://dx.doi.org/10.1117/12.191871.
Full textReports on the topic "Voice recognition"
Del Rose, Michael. Voice Digit Recognition Using Wavelets. Fort Belvoir, VA: Defense Technical Information Center, November 2004. http://dx.doi.org/10.21236/ada634136.
Full textGadbois, Gregory J. Developing Multi-Voice Speech Recognition Confidence Measures and Applying Them to AHLTA-Mobile. Fort Belvoir, VA: Defense Technical Information Center, May 2011. http://dx.doi.org/10.21236/ada547479.
Full textDennison, Thomas W., Frank J. Malkin, and Christopher C. Smyth. The Effect of Helicopter Vibration on the Accuracy of a Voice Recognition System. Fort Belvoir, VA: Defense Technical Information Center, September 1986. http://dx.doi.org/10.21236/ada174284.
Full textNovakoski, William L. Leveraging Technology: Using Voice Recognition to Improve Medical Records Production at Walter Reed Army Medical Center. Fort Belvoir, VA: Defense Technical Information Center, August 1999. http://dx.doi.org/10.21236/ada420777.
Full textPotts, Tavis, and Rebecca Ford. Leading from the front? Increasing Community Participation in a Just Transition to Net Zero in the North-East of Scotland. Scottish Universities Insight Institute, December 2022. http://dx.doi.org/10.57064/2164/19722.
Full textShifting power in global health: Decolonising discourses - series synthesis. United Nations University - International Institute for Global Health, Development Reimagined, Wilton Park, 2022. http://dx.doi.org/10.37941/mr-f/2022/3.
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