Academic literature on the topic 'Speech recognition'
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Journal articles on the topic "Speech recognition"
Miyazaki, Toshiyuki, and Yoji Ishikawa. "Speech recognition device and speech recognition method." Journal of the Acoustical Society of America 126, no. 3 (2009): 1648. http://dx.doi.org/10.1121/1.3230481.
Full textShinotsuka, Hiroshi, and Noritoshi Hino. "Speech recognition method and speech recognition device." Journal of the Acoustical Society of America 111, no. 4 (2002): 1518. http://dx.doi.org/10.1121/1.1479008.
Full textMohamad Nasir, A. B., N. R. M. Nasir, and F. H. M. Salleh. "SPEESH: speech-based mobile application for dysarthric speech recognition." Journal of Physics: Conference Series 1860, no. 1 (March 1, 2021): 012003. http://dx.doi.org/10.1088/1742-6596/1860/1/012003.
Full textDowney, Simon N. "Speech Recognition." Journal of the Acoustical Society of America 130, no. 6 (2011): 4183. http://dx.doi.org/10.1121/1.3669379.
Full textLennig, Matthew. "Speech recognition." Journal of the Acoustical Society of America 91, no. 1 (January 1992): 546. http://dx.doi.org/10.1121/1.402661.
Full textAlotaibi, Y. A., and M. M. Shahsavari. "Speech recognition." IEEE Potentials 17, no. 1 (1998): 23–28. http://dx.doi.org/10.1109/45.652853.
Full textFeldman, Joel A. "Speech recognition." Journal of the Acoustical Society of America 86, no. 6 (December 1989): 2478. http://dx.doi.org/10.1121/1.398356.
Full textGadbois, Gregory J., and Stijn A. Van Even. "Speech recognition." Journal of the Acoustical Society of America 107, no. 5 (2000): 2325. http://dx.doi.org/10.1121/1.428607.
Full textCameron, Ian R., and Paul C. Millar. "Speech recognition." Journal of the Acoustical Society of America 95, no. 2 (February 1994): 1185. http://dx.doi.org/10.1121/1.408412.
Full textAbe, Kenji. "SPEECH RECOGNITION SYSTEM AND METHOD FOR SPEECH RECOGNITION." Journal of the Acoustical Society of America 134, no. 1 (2013): 738. http://dx.doi.org/10.1121/1.4813052.
Full textDissertations / Theses on the topic "Speech recognition"
Chuchilina, L. M., and I. E. Yeskov. "Speech recognition." Thesis, Видавництво СумДУ, 2008. http://essuir.sumdu.edu.ua/handle/123456789/15995.
Full textAlcaraz, Meseguer Noelia. "Speech Analysis for Automatic Speech Recognition." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9092.
Full textThe classical front end analysis in speech recognition is a spectral analysis which parametrizes the speech signal into feature vectors; the most popular set of them is the Mel Frequency Cepstral Coefficients (MFCC). They are based on a standard power spectrum estimate which is first subjected to a log-based transform of the frequency axis (mel- frequency scale), and then decorrelated by using a modified discrete cosine transform. Following a focused introduction on speech production, perception and analysis, this paper gives a study of the implementation of a speech generative model; whereby the speech is synthesized and recovered back from its MFCC representations. The work has been developed into two steps: first, the computation of the MFCC vectors from the source speech files by using HTK Software; and second, the implementation of the generative model in itself, which, actually, represents the conversion chain from HTK-generated MFCC vectors to speech reconstruction. In order to know the goodness of the speech coding into feature vectors and to evaluate the generative model, the spectral distance between the original speech signal and the one produced from the MFCC vectors has been computed. For that, spectral models based on Linear Prediction Coding (LPC) analysis have been used. During the implementation of the generative model some results have been obtained in terms of the reconstruction of the spectral representation and the quality of the synthesized speech.
Kleinschmidt, Tristan Friedrich. "Robust speech recognition using speech enhancement." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/31895/1/Tristan_Kleinschmidt_Thesis.pdf.
Full textEriksson, Mattias. "Speech recognition availability." Thesis, Linköping University, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2651.
Full textThis project investigates the importance of availability in the scope of dictation programs. Using speech recognition technology for dictating has not reached the public, and that may very well be a result of poor availability in today’s technical solutions.
I have constructed a persona character, Johanna, who personalizes the target user. I have also developed a solution that streams audio into a speech recognition server and sends back interpreted text. Johanna affirmed that the solution was successful in theory.
I then incorporated test users that tried out the solution in practice. Half of them do indeed claim that their usage has been and will continue to be increased thanks to the new level of availability.
Uebler, Ulla. "Multilingual speech recognition /." Berlin : Logos Verlag, 2000. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=009117880&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Full textWang, Yonglian. "Speech Recognition under Stress." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1968468151&sid=9&Fmt=2&clientId=1509&RQT=309&VName=PQD.
Full textLucas, Adrian Edward. "Acoustic level speech recognition." Thesis, University of Surrey, 1991. http://epubs.surrey.ac.uk/2819/.
Full textŽmolíková, Kateřina. "Far-Field Speech Recognition." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255331.
Full textSun, Felix (Felix W. ). "Speech Representation Models for Speech Synthesis and Multimodal Speech Recognition." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106378.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 59-63).
The field of speech recognition has seen steady advances over the last two decades, leading to the accurate, real-time recognition systems available on mobile phones today. In this thesis, I apply speech modeling techniques developed for recognition to two other speech problems: speech synthesis and multimodal speech recognition with images. In both problems, there is a need to learn a relationship between speech sounds and another source of information. For speech synthesis, I show that using a neural network acoustic model results in a synthesizer that is more tolerant of noisy training data than previous work. For multimodal recognition, I show how information from images can be effectively integrated into the recognition search framework, resulting in improved accuracy when image data is available.
by Felix Sun.
M. Eng.
Miyajima, C., D. Negi, Y. Ninomiya, M. Sano, K. Mori, K. Itou, K. Takeda, and Y. Suenaga. "Audio-Visual Speech Database for Bimodal Speech Recognition." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2005. http://hdl.handle.net/2237/10460.
Full textBooks on the topic "Speech recognition"
Yu, Dong, and Li Deng. Automatic Speech Recognition. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5779-3.
Full textLee, Kai-Fu. Automatic Speech Recognition. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4615-3650-5.
Full textBourlard, Hervé A., and Nelson Morgan. Connectionist Speech Recognition. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-3210-1.
Full textMarkowitz, Judith A. Using speech recognition. Upper Saddle River, N.J: Prentice Hall PTR, 1996.
Find full textWoelfel, Matthias. Distant speech recognition. Chichester, West Sussex, U.K: Wiley, 2009.
Find full textBuydos, John F. Speech recognition and processing. Washington, D.C: Science Reference Section, Science and Technology Division, Library of Congress, 1994.
Find full textHuang, X. D. Hidden Markov models for speech recognition. Edinburgh: Edinburgh University Press, 1990.
Find full textHolmes, J. N. Speech synthesis and recognition. 2nd ed. New York: Taylor & Francis, 2001.
Find full textLaface, Pietro, and Renato De Mori, eds. Speech Recognition and Understanding. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76626-8.
Full textNeustein, Amy, ed. Advances in Speech Recognition. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-5951-5.
Full textBook chapters on the topic "Speech recognition"
Fink, Gernot A. "Speech Recognition." In Markov Models for Pattern Recognition, 229–36. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6308-4_13.
Full textMorris, Tim. "Speech Recognition." In Multimedia Systems, 89–100. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0455-1_7.
Full textXin, Jack, and Yingyong Qi. "Speech Recognition." In Mathematical Modeling and Signal Processing in Speech and Hearing Sciences, 115–39. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03086-9_4.
Full textPaulus, Dietrich W. R., and Joachim Hornegger. "Speech Recognition." In Pattern Recognition of Images and Speech in C++, 329–53. Wiesbaden: Vieweg+Teubner Verlag, 1997. http://dx.doi.org/10.1007/978-3-663-13991-1_25.
Full textFarouk, Mohamed Hesham. "Speech Recognition." In SpringerBriefs in Electrical and Computer Engineering, 27–29. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02732-6_6.
Full textStölzle, Anton. "Speech Recognition." In The Kluwer International Series in Engineering and Computer Science, 321–38. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3570-6_21.
Full textFarouk, Mohamed Hesham. "Speech Recognition." In SpringerBriefs in Electrical and Computer Engineering, 41–46. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69002-5_7.
Full textWeik, Martin H. "speech recognition." In Computer Science and Communications Dictionary, 1636. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17919.
Full textSinha, Priyabrata. "Speech Recognition." In Speech Processing in Embedded Systems, 143–55. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-75581-6_10.
Full textRenals, Steve, and Thomas Hain. "Speech Recognition." In The Handbook of Computational Linguistics and Natural Language Processing, 297–332. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444324044.ch12.
Full textConference papers on the topic "Speech recognition"
Manabe, Hiroyuki, Akira Hiraiwa, and Toshiaki Sugimura. "Speech recognition using EMG; mime speech recognition." In 8th European Conference on Speech Communication and Technology (Eurospeech 2003). ISCA: ISCA, 2003. http://dx.doi.org/10.21437/eurospeech.2003-524.
Full textNegoita, Alexandru, George Suciu, Svetlana Segarceanu, and Dan Trufin. "SPEECH RECOGNITION SYSTEM." In eLSE 2021. ADL Romania, 2021. http://dx.doi.org/10.12753/2066-026x-21-095.
Full textWoodland, P. "Speech recognition." In IEE Colloquium Speech and Language Engineering - State of the Art. IEE, 1998. http://dx.doi.org/10.1049/ic:19980956.
Full textManabe, Hiroyuki, Akira Hiraiwa, and Toshiaki Sugimura. ""Unvoiced speech recognition using EMG - mime speech recognition"." In CHI '03 extended abstracts. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/765891.765996.
Full textDong Wang, Lie Lu, and Hong-Jiang Zhang. "Speech segmentation without speech recognition." In 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698). IEEE, 2003. http://dx.doi.org/10.1109/icme.2003.1220940.
Full textNewell, Alan F., John L. Arnott, and R. Dye. "A full speed speech simulation of speech recognition machines." In European Conference on Speech Technology. ISCA: ISCA, 1987. http://dx.doi.org/10.21437/ecst.1987-207.
Full textPaulose, Supriya, Shikhamoni Nath, and Samudravijaya K. "Marathi Speech Recognition." In The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages. ISCA: ISCA, 2018. http://dx.doi.org/10.21437/sltu.2018-48.
Full textThorat, Roopa A., and Ruchira A. Jadhav. "Speech recognition system." In the International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1523103.1523226.
Full textHui Lin and Jeff Bilmes. "Polyphase speech recognition." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4518558.
Full textDevi, Sulochana, Siddhi Chokshi, Kritika Kotian, and Juili Warwatkar. "Visual Speech Recognition." In 2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE). IEEE, 2021. http://dx.doi.org/10.1109/icnte51185.2021.9487784.
Full textReports on the topic "Speech recognition"
Hoeferlin, David M., Brian M. Ore, Stephen A. Thorn, and David Snyder. Speech Processing and Recognition (SPaRe). Fort Belvoir, VA: Defense Technical Information Center, January 2011. http://dx.doi.org/10.21236/ada540142.
Full textKubala, F., S. Austin, C. Barry, J. Makhoul, P. Placeway, and R. Schwartz. Byblos Speech Recognition Benchmark Results. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada459943.
Full textSchwartz, Richard, and Owen Kimball. Toward Real-Time Continuous Speech Recognition. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada208196.
Full textLiu, Fu-Hua, Pedro J. Moreno, Richard M. Stern, and Alejandro Acero. Signal Processing for Robust Speech Recognition. Fort Belvoir, VA: Defense Technical Information Center, January 1994. http://dx.doi.org/10.21236/ada457798.
Full textSchwartz, R., Y.-L. Chow, A. Derr, M.-W. Feng, and O. Kimball. Statistical Modeling for Continuous Speech Recognition. Fort Belvoir, VA: Defense Technical Information Center, February 1988. http://dx.doi.org/10.21236/ada192054.
Full textSTANDARD OBJECT SYSTEMS INC SHALIMAR FL. Auditory Modeling for Noisy Speech Recognition. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada373379.
Full textPfister, M. Software Package for Speaker Independent or Dependent Speech Recognition Using Standard Objects for Phonetic Speech Recognition. Fort Belvoir, VA: Defense Technical Information Center, February 1998. http://dx.doi.org/10.21236/ada341198.
Full textOre, Brian M. Speech Recognition, Articulatory Feature Detection, and Speech Synthesis in Multiple Languages. Fort Belvoir, VA: Defense Technical Information Center, November 2009. http://dx.doi.org/10.21236/ada519140.
Full textDraelos, Timothy J., Stephen Heck, Jennifer Galasso, and Ronald Brogan. Seismic Phase Identification with Speech Recognition Algorithms. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1474260.
Full textSchwartz, Richard, and John Makhoul. Combining Multiple Knowledge Sources for Speech Recognition. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada198928.
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