Gotowa bibliografia na temat „Speech recognition”
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Artykuły w czasopismach na temat "Speech recognition"
Miyazaki, Toshiyuki, i Yoji Ishikawa. "Speech recognition device and speech recognition method". Journal of the Acoustical Society of America 126, nr 3 (2009): 1648. http://dx.doi.org/10.1121/1.3230481.
Pełny tekst źródłaShinotsuka, Hiroshi, i Noritoshi Hino. "Speech recognition method and speech recognition device". Journal of the Acoustical Society of America 111, nr 4 (2002): 1518. http://dx.doi.org/10.1121/1.1479008.
Pełny tekst źródłaMohamad Nasir, A. B., N. R. M. Nasir i F. H. M. Salleh. "SPEESH: speech-based mobile application for dysarthric speech recognition". Journal of Physics: Conference Series 1860, nr 1 (1.03.2021): 012003. http://dx.doi.org/10.1088/1742-6596/1860/1/012003.
Pełny tekst źródłaDowney, Simon N. "Speech Recognition". Journal of the Acoustical Society of America 130, nr 6 (2011): 4183. http://dx.doi.org/10.1121/1.3669379.
Pełny tekst źródłaLennig, Matthew. "Speech recognition". Journal of the Acoustical Society of America 91, nr 1 (styczeń 1992): 546. http://dx.doi.org/10.1121/1.402661.
Pełny tekst źródłaAlotaibi, Y. A., i M. M. Shahsavari. "Speech recognition". IEEE Potentials 17, nr 1 (1998): 23–28. http://dx.doi.org/10.1109/45.652853.
Pełny tekst źródłaFeldman, Joel A. "Speech recognition". Journal of the Acoustical Society of America 86, nr 6 (grudzień 1989): 2478. http://dx.doi.org/10.1121/1.398356.
Pełny tekst źródłaGadbois, Gregory J., i Stijn A. Van Even. "Speech recognition". Journal of the Acoustical Society of America 107, nr 5 (2000): 2325. http://dx.doi.org/10.1121/1.428607.
Pełny tekst źródłaCameron, Ian R., i Paul C. Millar. "Speech recognition". Journal of the Acoustical Society of America 95, nr 2 (luty 1994): 1185. http://dx.doi.org/10.1121/1.408412.
Pełny tekst źródłaAbe, Kenji. "SPEECH RECOGNITION SYSTEM AND METHOD FOR SPEECH RECOGNITION". Journal of the Acoustical Society of America 134, nr 1 (2013): 738. http://dx.doi.org/10.1121/1.4813052.
Pełny tekst źródłaRozprawy doktorskie na temat "Speech recognition"
Chuchilina, L. M., i I. E. Yeskov. "Speech recognition". Thesis, Видавництво СумДУ, 2008. http://essuir.sumdu.edu.ua/handle/123456789/15995.
Pełny tekst źródłaAlcaraz, 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.
Pełny tekst źródłaThe 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.
Pełny tekst źródłaEriksson, 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.
Pełny tekst źródłaThis 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.
Pełny tekst źródłaWang, 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.
Pełny tekst źródłaLucas, Adrian Edward. "Acoustic level speech recognition". Thesis, University of Surrey, 1991. http://epubs.surrey.ac.uk/2819/.
Pełny tekst źródłaŽmolíková, Kateřina. "Far-Field Speech Recognition". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255331.
Pełny tekst źródłaSun, 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.
Pełny tekst źródłaThis 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 i Y. Suenaga. "Audio-Visual Speech Database for Bimodal Speech Recognition". INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2005. http://hdl.handle.net/2237/10460.
Pełny tekst źródłaKsiążki na temat "Speech recognition"
Yu, Dong, i Li Deng. Automatic Speech Recognition. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5779-3.
Pełny tekst źródłaLee, Kai-Fu. Automatic Speech Recognition. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4615-3650-5.
Pełny tekst źródłaBourlard, Hervé A., i Nelson Morgan. Connectionist Speech Recognition. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-3210-1.
Pełny tekst źródłaMarkowitz, Judith A. Using speech recognition. Upper Saddle River, N.J: Prentice Hall PTR, 1996.
Znajdź pełny tekst źródłaWoelfel, Matthias. Distant speech recognition. Chichester, West Sussex, U.K: Wiley, 2009.
Znajdź pełny tekst źródłaBuydos, John F. Speech recognition and processing. Washington, D.C: Science Reference Section, Science and Technology Division, Library of Congress, 1994.
Znajdź pełny tekst źródłaHuang, X. D. Hidden Markov models for speech recognition. Edinburgh: Edinburgh University Press, 1990.
Znajdź pełny tekst źródłaHolmes, J. N. Speech synthesis and recognition. Wyd. 2. New York: Taylor & Francis, 2001.
Znajdź pełny tekst źródłaLaface, Pietro, i Renato De Mori, red. Speech Recognition and Understanding. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76626-8.
Pełny tekst źródłaNeustein, Amy, red. Advances in Speech Recognition. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-5951-5.
Pełny tekst źródłaCzęści książek na temat "Speech recognition"
Fink, Gernot A. "Speech Recognition". W Markov Models for Pattern Recognition, 229–36. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6308-4_13.
Pełny tekst źródłaMorris, Tim. "Speech Recognition". W Multimedia Systems, 89–100. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0455-1_7.
Pełny tekst źródłaXin, Jack, i Yingyong Qi. "Speech Recognition". W 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.
Pełny tekst źródłaPaulus, Dietrich W. R., i Joachim Hornegger. "Speech Recognition". W 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.
Pełny tekst źródłaFarouk, Mohamed Hesham. "Speech Recognition". W 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.
Pełny tekst źródłaStölzle, Anton. "Speech Recognition". W 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.
Pełny tekst źródłaFarouk, Mohamed Hesham. "Speech Recognition". W 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.
Pełny tekst źródłaWeik, Martin H. "speech recognition". W Computer Science and Communications Dictionary, 1636. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17919.
Pełny tekst źródłaSinha, Priyabrata. "Speech Recognition". W Speech Processing in Embedded Systems, 143–55. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-75581-6_10.
Pełny tekst źródłaRenals, Steve, i Thomas Hain. "Speech Recognition". W The Handbook of Computational Linguistics and Natural Language Processing, 297–332. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444324044.ch12.
Pełny tekst źródłaStreszczenia konferencji na temat "Speech recognition"
Manabe, Hiroyuki, Akira Hiraiwa i Toshiaki Sugimura. "Speech recognition using EMG; mime speech recognition". W 8th European Conference on Speech Communication and Technology (Eurospeech 2003). ISCA: ISCA, 2003. http://dx.doi.org/10.21437/eurospeech.2003-524.
Pełny tekst źródłaNegoita, Alexandru, George Suciu, Svetlana Segarceanu i Dan Trufin. "SPEECH RECOGNITION SYSTEM". W eLSE 2021. ADL Romania, 2021. http://dx.doi.org/10.12753/2066-026x-21-095.
Pełny tekst źródłaWoodland, P. "Speech recognition". W IEE Colloquium Speech and Language Engineering - State of the Art. IEE, 1998. http://dx.doi.org/10.1049/ic:19980956.
Pełny tekst źródłaManabe, Hiroyuki, Akira Hiraiwa i Toshiaki Sugimura. ""Unvoiced speech recognition using EMG - mime speech recognition"". W CHI '03 extended abstracts. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/765891.765996.
Pełny tekst źródłaDong Wang, Lie Lu i Hong-Jiang Zhang. "Speech segmentation without speech recognition". W 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698). IEEE, 2003. http://dx.doi.org/10.1109/icme.2003.1220940.
Pełny tekst źródłaNewell, Alan F., John L. Arnott i R. Dye. "A full speed speech simulation of speech recognition machines". W European Conference on Speech Technology. ISCA: ISCA, 1987. http://dx.doi.org/10.21437/ecst.1987-207.
Pełny tekst źródłaPaulose, Supriya, Shikhamoni Nath i Samudravijaya K. "Marathi Speech Recognition". W The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages. ISCA: ISCA, 2018. http://dx.doi.org/10.21437/sltu.2018-48.
Pełny tekst źródłaThorat, Roopa A., i Ruchira A. Jadhav. "Speech recognition system". W the International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1523103.1523226.
Pełny tekst źródłaHui Lin i Jeff Bilmes. "Polyphase speech recognition". W ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4518558.
Pełny tekst źródłaDevi, Sulochana, Siddhi Chokshi, Kritika Kotian i Juili Warwatkar. "Visual Speech Recognition". W 2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE). IEEE, 2021. http://dx.doi.org/10.1109/icnte51185.2021.9487784.
Pełny tekst źródłaRaporty organizacyjne na temat "Speech recognition"
Hoeferlin, David M., Brian M. Ore, Stephen A. Thorn i David Snyder. Speech Processing and Recognition (SPaRe). Fort Belvoir, VA: Defense Technical Information Center, styczeń 2011. http://dx.doi.org/10.21236/ada540142.
Pełny tekst źródłaKubala, F., S. Austin, C. Barry, J. Makhoul, P. Placeway i R. Schwartz. Byblos Speech Recognition Benchmark Results. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1991. http://dx.doi.org/10.21236/ada459943.
Pełny tekst źródłaSchwartz, Richard, i Owen Kimball. Toward Real-Time Continuous Speech Recognition. Fort Belvoir, VA: Defense Technical Information Center, marzec 1989. http://dx.doi.org/10.21236/ada208196.
Pełny tekst źródłaLiu, Fu-Hua, Pedro J. Moreno, Richard M. Stern i Alejandro Acero. Signal Processing for Robust Speech Recognition. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1994. http://dx.doi.org/10.21236/ada457798.
Pełny tekst źródłaSchwartz, R., Y.-L. Chow, A. Derr, M.-W. Feng i O. Kimball. Statistical Modeling for Continuous Speech Recognition. Fort Belvoir, VA: Defense Technical Information Center, luty 1988. http://dx.doi.org/10.21236/ada192054.
Pełny tekst źródłaSTANDARD OBJECT SYSTEMS INC SHALIMAR FL. Auditory Modeling for Noisy Speech Recognition. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2000. http://dx.doi.org/10.21236/ada373379.
Pełny tekst źródłaPfister, M. Software Package for Speaker Independent or Dependent Speech Recognition Using Standard Objects for Phonetic Speech Recognition. Fort Belvoir, VA: Defense Technical Information Center, luty 1998. http://dx.doi.org/10.21236/ada341198.
Pełny tekst źródłaOre, Brian M. Speech Recognition, Articulatory Feature Detection, and Speech Synthesis in Multiple Languages. Fort Belvoir, VA: Defense Technical Information Center, listopad 2009. http://dx.doi.org/10.21236/ada519140.
Pełny tekst źródłaDraelos, Timothy J., Stephen Heck, Jennifer Galasso i Ronald Brogan. Seismic Phase Identification with Speech Recognition Algorithms. Office of Scientific and Technical Information (OSTI), wrzesień 2018. http://dx.doi.org/10.2172/1474260.
Pełny tekst źródłaSchwartz, Richard, i John Makhoul. Combining Multiple Knowledge Sources for Speech Recognition. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1988. http://dx.doi.org/10.21236/ada198928.
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