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Artykuły w czasopismach na temat "Automatic speech recognition – Statistical methods"
Boyer, A., J. Di Martino, P. Divoux, J. P. Haton, J. F. Mari i K. Smaili. "Statistical methods in multi-speaker automatic speech recognition". Applied Stochastic Models and Data Analysis 6, nr 3 (wrzesień 1990): 143–55. http://dx.doi.org/10.1002/asm.3150060302.
Pełny tekst źródłaKłosowski, Piotr. "A Rule-Based Grapheme-to-Phoneme Conversion System". Applied Sciences 12, nr 5 (7.03.2022): 2758. http://dx.doi.org/10.3390/app12052758.
Pełny tekst źródłaToth, Laszlo, Ildiko Hoffmann, Gabor Gosztolya, Veronika Vincze, Greta Szatloczki, Zoltan Banreti, Magdolna Pakaski i Janos Kalman. "A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech". Current Alzheimer Research 15, nr 2 (3.01.2018): 130–38. http://dx.doi.org/10.2174/1567205014666171121114930.
Pełny tekst źródłaGellatly, Andrew W., i Thomas A. Dingus. "Speech Recognition and Automotive Applications: Using Speech to Perform in-Vehicle Tasks". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, nr 17 (październik 1998): 1247–51. http://dx.doi.org/10.1177/154193129804201715.
Pełny tekst źródłaSeman, Noraini, i Ahmad Firdaus Norazam. "Hybrid methods of brandt’s generalised likelihood ratio and short-term energy for malay word speech segmentation". Indonesian Journal of Electrical Engineering and Computer Science 16, nr 1 (1.10.2019): 283. http://dx.doi.org/10.11591/ijeecs.v16.i1.pp283-291.
Pełny tekst źródłaCabral, Frederico Soares, Hidekazu Fukai i Satoshi Tamura. "Feature Extraction Methods Proposed for Speech Recognition Are Effective on Road Condition Monitoring Using Smartphone Inertial Sensors". Sensors 19, nr 16 (9.08.2019): 3481. http://dx.doi.org/10.3390/s19163481.
Pełny tekst źródłaHai, Yanfei. "Computer-aided teaching mode of oral English intelligent learning based on speech recognition and network assistance". Journal of Intelligent & Fuzzy Systems 39, nr 4 (21.10.2020): 5749–60. http://dx.doi.org/10.3233/jifs-189052.
Pełny tekst źródłaMarkovnikov, Nikita, i Irina Kipyatkova. "Encoder-decoder models for recognition of Russian speech". Information and Control Systems, nr 4 (4.10.2019): 45–53. http://dx.doi.org/10.31799/1684-8853-2019-4-45-53.
Pełny tekst źródłaAFLI, HAITHEM, LOÏC BARRAULT i HOLGER SCHWENK. "Building and using multimodal comparable corpora for machine translation". Natural Language Engineering 22, nr 4 (15.06.2016): 603–25. http://dx.doi.org/10.1017/s1351324916000152.
Pełny tekst źródłaKozlova, A. T. "Temporal Characteristics of Prosody in Imperative Utterances and the Phenomenon of Emphatic Length in the English Language". Bulletin of Kemerovo State University, nr 3 (27.10.2018): 192–96. http://dx.doi.org/10.21603/2078-8975-2018-3-192-196.
Pełny tekst źródłaRozprawy doktorskie na temat "Automatic speech recognition – Statistical methods"
Wu, Jian, i 武健. "Discriminative speaker adaptation and environmental robustness in automatic speech recognition". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31246138.
Pełny tekst źródła黃伯光 i Pak-kwong Wong. "Statistical language models for Chinese recognition: speech and character". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31239456.
Pełny tekst źródłaChan, Oscar. "Prosodic features for a maximum entropy language model". University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0244.
Pełny tekst źródłaFu, Qiang. "A generalization of the minimum classification error (MCE) training method for speech recognition and detection". Diss., Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22705.
Pełny tekst źródłaSeward, Alexander. "Efficient Methods for Automatic Speech Recognition". Doctoral thesis, KTH, Tal, musik och hörsel, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3675.
Pełny tekst źródłaQC 20100811
Clarkson, P. R. "Adaptation of statistical language models for automatic speech recognition". Thesis, University of Cambridge, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.597745.
Pełny tekst źródłaWei, Yi. "Statistical methods on automatic aircraft recognition in aerial images". Thesis, University of Strathclyde, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248947.
Pełny tekst źródłaWong, Pak-kwong. "Statistical language models for Chinese recognition : speech and character /". Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20158725.
Pełny tekst źródłaMcGreevy, Michael. "Statistical language modelling for large vocabulary speech recognition". Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16444/1/Michael_McGreevy_Thesis.pdf.
Pełny tekst źródłaMcGreevy, Michael. "Statistical language modelling for large vocabulary speech recognition". Queensland University of Technology, 2006. http://eprints.qut.edu.au/16444/.
Pełny tekst źródłaKsiążki na temat "Automatic speech recognition – Statistical methods"
Statistical methods for speech recognition. Cambridge, Mass: MIT Press, 1997.
Znajdź pełny tekst źródłaAlumäe, Tanel. Methods for Estonian large vocabulary speech recognition. [Tallinn]: Tallinn University of Technology Press, 2006.
Znajdź pełny tekst źródłaJoseph, Keshet, i Bengio Samy, red. Automatic speech and speaker recognition: Large margin and kernel methods. Hoboken, NJ: J. Wiley & Sons, 2009.
Znajdź pełny tekst źródłaMinker, Wolfgang. Incorporating Knowledge Sources into Statistical Speech Recognition. Boston, MA: Springer Science+Business Media, LLC, 2009.
Znajdź pełny tekst źródłaJelinek, Frederick. Statistical Methods for Speech Recognition. MIT Press, 2022.
Znajdź pełny tekst źródłaKeshet, Joseph, i Samy Bengio. Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods. Wiley & Sons, Limited, John, 2009.
Znajdź pełny tekst źródłaKeshet, Joseph, i Samy Bengio. Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods. Wiley & Sons, Incorporated, John, 2009.
Znajdź pełny tekst źródłaA, Fourcin, red. Speech input and output assessment: Multilingual methods and standards. Chichester, West Sussex, England: E. Horwood, 1989.
Znajdź pełny tekst źródłaMüller, Christian. Speaker Classification I: Fundamentals, Features, and Methods. Springer London, Limited, 2007.
Znajdź pełny tekst źródłaLamel, Lori, i Jean-Luc Gauvain. Speech Recognition. Redaktor Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0016.
Pełny tekst źródłaCzęści książek na temat "Automatic speech recognition – Statistical methods"
de Mori, Renato. "Statistical Methods for Automatic Speech Recognition". W Speech Processing, Recognition and Artificial Neural Networks, 165–89. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0845-0_7.
Pełny tekst źródłaJuang, B. H., Wu Chou i C. H. Lee. "Statistical and Discriminative Methods for Speech Recognition". W Speech Recognition and Coding, 41–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-57745-1_4.
Pełny tekst źródłaPironkov, Gueorgui, Sean U. N. Wood, Stéphane Dupont i Thierry Dutoit. "Investigating a Hybrid Learning Approach for Robust Automatic Speech Recognition". W Statistical Language and Speech Processing, 67–78. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00810-9_7.
Pełny tekst źródłaMari, Jean-François, i René Schott. "Some Applications in Speech Recognition". W Probabilistic and Statistical Methods in Computer Science, 153–76. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-6280-8_4.
Pełny tekst źródłaFuhrmann, Ferdinand, Anna Maly, Christina Leitner i Franz Graf. "Three Experiments on the Application of Automatic Speech Recognition in Industrial Environments". W Statistical Language and Speech Processing, 109–18. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68456-7_9.
Pełny tekst źródłaJuang, B. H., W. Chou i C. H. Lee. "Statistical and Discriminative Methods for Speech Recognition". W The Kluwer International Series in Engineering and Computer Science, 109–32. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1367-0_5.
Pełny tekst źródłaHodžić, Migdat, i Tarik Namas. "Automatic SAR Target Recognition and Pose Estimation. Part 2. Statistical Methods for Target Recognition". W Lecture Notes in Networks and Systems, 901–30. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71321-2_77.
Pełny tekst źródłaColeti, Thiago Adriano, Marcelo Morandini i Fátima de Lourdes dos Santos Nunes. "Analyzing Face and Speech Recognition to Create Automatic Information for Usability Evaluation". W Human-Computer Interaction. Human-Centred Design Approaches, Methods, Tools, and Environments, 184–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39232-0_21.
Pełny tekst źródłaKorenevsky, M. L., Yu N. Matveev i A. V. Yakovlev. "Investigation and Development of Methods for Improving Robustness of Automatic Speech Recognition Algorithms in Complex Acoustic Environments". W Proceedings of the Scientific-Practical Conference "Research and Development - 2016", 11–20. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62870-7_2.
Pełny tekst źródłaEmiliani, U., P. Podini i F. Sani. "Combined Application of Neural Network and Artificial Intelligence Methods to Automatic Speech Recognition in a Continuous Utterance". W Artificial Neural Nets and Genetic Algorithms, 269–74. Vienna: Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-7533-0_40.
Pełny tekst źródłaStreszczenia konferencji na temat "Automatic speech recognition – Statistical methods"
Drygajlo, Andrzej, Didier Meuwly i Anil Alexander. "Statistical methods and Bayesian interpretation of evidence in forensic automatic speaker recognition". W 8th European Conference on Speech Communication and Technology (Eurospeech 2003). ISCA: ISCA, 2003. http://dx.doi.org/10.21437/eurospeech.2003-297.
Pełny tekst źródłaXiao, Xiaoqiang, Jasha Droppo i Alex Acero. "Information retrieval methods for automatic speech recognition". W 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495229.
Pełny tekst źródłaKozierski, Piotr, Talar Sadalla, Szymon Drgas i Adam Dabrowski. "Allophones in automatic whispery speech recognition". W 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2016. http://dx.doi.org/10.1109/mmar.2016.7575241.
Pełny tekst źródłaFurui, Sadaoki. "Robust methods in automatic speech recognition and understanding". W 8th European Conference on Speech Communication and Technology (Eurospeech 2003). ISCA: ISCA, 2003. http://dx.doi.org/10.21437/eurospeech.2003-575.
Pełny tekst źródłaLehning, Michael. "Statistical methods for the automatic labelling of German prosody". W 4th European Conference on Speech Communication and Technology (Eurospeech 1995). ISCA: ISCA, 1995. http://dx.doi.org/10.21437/eurospeech.1995-500.
Pełny tekst źródłaProdeus, Arkadiy, i Kateryna Kukharicheva. "Training of automatic speech recognition system on noised speech". W 2016 4th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC). IEEE, 2016. http://dx.doi.org/10.1109/msnmc.2016.7783147.
Pełny tekst źródłaSchatzmann, Jost, Blaise Thomson i Steve Young. "Error simulation for training statistical dialogue systems". W 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU). IEEE, 2007. http://dx.doi.org/10.1109/asru.2007.4430167.
Pełny tekst źródłaPaliwal, Kuldip K., James G. Lyons, Stephen So, Anthony P. Stark i Kamil K. Wojcicki. "Comparative evaluation of speech enhancement methods for robust automatic speech recognition". W 2010 4th International Conference on Signal Processing and Communication Systems (ICSPCS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icspcs.2010.5709761.
Pełny tekst źródłaNey, H. "One decade of statistical machine translation: 1996-2005". W IEEE Workshop on Automatic Speech Recognition and Understanding, 2005. IEEE, 2005. http://dx.doi.org/10.1109/asru.2005.1566466.
Pełny tekst źródłaJunichi Tsujii. "Combining statistical models with symbolic grammar in parsing". W 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU). IEEE, 2007. http://dx.doi.org/10.1109/asru.2007.4430140.
Pełny tekst źródłaRaporty organizacyjne na temat "Automatic speech recognition – Statistical methods"
Fatehifar, Mohsen, Josef Schlittenlacher, David Wong i Kevin Munro. Applications Of Automatic Speech Recognition And Text-To-Speech Models To Detect Hearing Loss: A Scoping Review Protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, styczeń 2023. http://dx.doi.org/10.37766/inplasy2023.1.0029.
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