Literatura científica selecionada sobre o tema "Distant speech"
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Artigos de revistas sobre o assunto "Distant speech"
Sorokin, V. N. "Distant Speech Detection". Acoustical Physics 69, n.º 4 (agosto de 2023): 565–73. http://dx.doi.org/10.1134/s1063771023600250.
Texto completo da fonteAshwini, Jaya Kumar, e Ramaswamy Kumaraswamy. "Single-Channel Speech Enhancement Techniques for Distant Speech Recognition". Journal of Intelligent Systems 22, n.º 2 (1 de junho de 2013): 81–93. http://dx.doi.org/10.1515/jisys-2012-0051.
Texto completo da fonteGuerrero Flores, Cristina, Georgina Tryfou e Maurizio Omologo. "Cepstral distance based channel selection for distant speech recognition". Computer Speech & Language 47 (janeiro de 2018): 314–32. http://dx.doi.org/10.1016/j.csl.2017.08.003.
Texto completo da fonteNematollahi, Mohammad Ali, e S. A. R. Al-Haddad. "Distant Speaker Recognition: An Overview". International Journal of Humanoid Robotics 13, n.º 02 (25 de maio de 2016): 1550032. http://dx.doi.org/10.1142/s0219843615500322.
Texto completo da fonteSwietojanski, Pawel, Arnab Ghoshal e Steve Renals. "Convolutional Neural Networks for Distant Speech Recognition". IEEE Signal Processing Letters 21, n.º 9 (setembro de 2014): 1120–24. http://dx.doi.org/10.1109/lsp.2014.2325781.
Texto completo da fontePardede, Hilman F., Asri R. Yuliani e Rika Sustika. "Convolutional Neural Network and Feature Transformation for Distant Speech Recognition". International Journal of Electrical and Computer Engineering (IJECE) 8, n.º 6 (1 de dezembro de 2018): 5381. http://dx.doi.org/10.11591/ijece.v8i6.pp5381-5388.
Texto completo da fonteNAKANO, Alberto Yoshihiro, Seiichi NAKAGAWA e Kazumasa YAMAMOTO. "Distant Speech Recognition Using a Microphone Array Network". IEICE Transactions on Information and Systems E93-D, n.º 9 (2010): 2451–62. http://dx.doi.org/10.1587/transinf.e93.d.2451.
Texto completo da fonteRavanelli, Mirco, e Maurizio Omologo. "Automatic context window composition for distant speech recognition". Speech Communication 101 (julho de 2018): 34–44. http://dx.doi.org/10.1016/j.specom.2018.05.001.
Texto completo da fonteMatassoni, Marco, Maurizio Omologo, Diego Giuliani e Piergiorgio Svaizer. "Hidden Markov model training with contaminated speech material for distant-talking speech recognition". Computer Speech & Language 16, n.º 2 (abril de 2002): 205–23. http://dx.doi.org/10.1006/csla.2002.0191.
Texto completo da fonteMustafaev, M. Sh, V. A. Vissarionov, E. M. Tarchokova e S. A. Dyshekova. "Basics of complex rehabilitation of patients with speech disorders after uranoplasty". Medical alphabet, n.º 3 (12 de junho de 2020): 40–42. http://dx.doi.org/10.33667/2078-5631-2020-3-40-42.
Texto completo da fonteTeses / dissertações sobre o assunto "Distant speech"
Ravanelli, Mirco. "Deep Learning for Distant Speech Recognition". Doctoral thesis, Università degli studi di Trento, 2017. https://hdl.handle.net/11572/368959.
Texto completo da fonteRavanelli, Mirco. "Deep Learning for Distant Speech Recognition". Doctoral thesis, University of Trento, 2017. http://eprints-phd.biblio.unitn.it/2693/1/PhD_thesis_Ravanelli_Mirco_archived.pdf.
Texto completo da fonteLiu, Yulan. "Distant speech recognition of natural spontaneous multi-party conversations". Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/17691/.
Texto completo da fonteMahdian, Toroghi Rahil [Verfasser], e Dietrich [Akademischer Betreuer] Klakow. "Blind speech separation in distant speech recognition front-end processing / Rahil Mahdian Toroghi ; Betreuer: Dietrich Klakow". Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2016. http://d-nb.info/1119802229/34.
Texto completo da fonteEldridge, Larry D. "A distant heritage : the growth of free speech in early America /". New York, NY [u.a.] : New York Univ. Press, 1994. http://www.gbv.de/dms/spk/sbb/recht/toc/277767857.pdf.
Texto completo da fonteTitus, Andrew Richard. "A study of adaptive enhancement methods for improved distant speech recognition". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119706.
Texto completo da fonteThis 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 65-68).
Automatic speech recognition systems trained on speech data recorded by microphones placed close to the speaker tend to perform poorly on speech recorded by microphones placed farther away from the speaker due to reverberation effects and background noise. I designed and implemented a variety of machine learning models to improve distant speech recognition performance by adaptively enhancing incoming speech to appear as if it was recorded in a close-talking environment, regardless of whether it was originally recorded in a close-talking or distant environment. These were evaluated by passing the enhanced speech to acoustic models trained on only close-talking speech and comparing error rates to those achieved without speech enhancement. Experiments conducted on the AMI, TIMIT and TED-LIUM datasets indicate that decreases in error rate on distant speech of up to 33% relative can be achieved by these with only minor increases (1% relative) on clean speech.
by Andrew Richard Titus.
M. Eng.
Guerrero, Flores Cristina Maritza. "Information Fusion Approaches for Distant Speech Recognition in a Multi-microphone Setting". Doctoral thesis, Università degli studi di Trento, 2016. https://hdl.handle.net/11572/368955.
Texto completo da fonteGuerrero, Flores Cristina Maritza. "Information Fusion Approaches for Distant Speech Recognition in a Multi-microphone Setting". Doctoral thesis, University of Trento, 2016. http://eprints-phd.biblio.unitn.it/1853/1/160830_cguerrero_phd-thesis.pdf.
Texto completo da fonteSwietojanski, Paweł. "Learning representations for speech recognition using artificial neural networks". Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/22835.
Texto completo da fonteKITAOKA, Norihide, Seiichi NAKAGAWA e Longbiao WANG. "Robust Speech Recognition by Combining Short-Term and Long-Term Spectrum Based Position-Dependent CMN with Conventional CMN". Institute of Electronics, Information and Communication Engineers, 2008. http://hdl.handle.net/2237/14966.
Texto completo da fonteLivros sobre o assunto "Distant speech"
Woelfel, Matthias. Distant speech recognition. Chichester, West Sussex, U.K: Wiley, 2009.
Encontre o texto completo da fonteEldridge, Larry D. A distant heritage: The growth of free speech in early America. New York: New York University Press, 1994.
Encontre o texto completo da fonteSmoothey, Marion. Time, distance, and speed. New York: Marshall Cavendish, 1993.
Encontre o texto completo da fonteSmoothey, Marion. Time, distance, and speed. New York: Marshall Cavendish, 1993.
Encontre o texto completo da fonteHumphreys, D. Russell. Starlight and time: Solving the puzzle of distant starlight in a young universe. Green Forest, AR: Master Books, 1994.
Encontre o texto completo da fonteSpeed, Charles S. Call of a distant drum: The Speeds, the Crittendons, and the New Land. Arlington, VA (2000 South Eads St., Arlington 22202): C.S. Speed, 1986.
Encontre o texto completo da fonteSubhasis, Chaudhuri, e SpringerLink (Online service), eds. Video Analysis and Repackaging for Distance Education. New York, NY: Springer New York, 2012.
Encontre o texto completo da fonteHunt, M. J. Distance measures for speech recognition =: Les distances spectrales pour la reconnaissance de la parole. Ottawa: National Research Council Canada, 1989.
Encontre o texto completo da fonteBrunner-Jass, Renata. Field of play: Measuring distance, rate, and time. Chicago, IL: Norwood House Press, 2013.
Encontre o texto completo da fonteDIMED 86 (1986 Algarve, Portugal). DIMED 86: Discurso dos media e ensino a distância = discours des médias et enseignement à distance = media speech and distance teaching : actas do colóquio, Algarve 10-15 março de 1986. Lisboa: Ministério da Educação e Cultura, Instituto Português de Ensino a Distância, 1986.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Distant speech"
Kendall, Henry W. "Speech to the United Nations Intergovernmental Negotiating Committee". In A Distant Light, 189–91. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4419-8507-1_17.
Texto completo da fonteZając, Marcin, e Adam Przepiórkowski. "Distant Supervision Learning of DBPedia Relations". In Text, Speech, and Dialogue, 193–200. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40585-3_25.
Texto completo da fonteHaderlein, Tino, Elmar Nöth, Wolfgang Herbordt, Walter Kellermann e Heinrich Niemann. "Using Artificially Reverberated Training Data in Distant-Talking ASR". In Text, Speech and Dialogue, 226–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11551874_29.
Texto completo da fonteJi, Mikyong, Sungtak Kim e Hoirin Kim. "Composite Decision by Bayesian Inference in Distant-Talking Speech Recognition". In Text, Speech and Dialogue, 463–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11846406_58.
Texto completo da fonteRadeck-Arneth, Stephan, Benjamin Milde, Arvid Lange, Evandro Gouvêa, Stefan Radomski, Max Mühlhäuser e Chris Biemann. "Open Source German Distant Speech Recognition: Corpus and Acoustic Model". In Text, Speech, and Dialogue, 480–88. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24033-6_54.
Texto completo da fonteVacher, Michel, Benjamin Lecouteux e François Portet. "On Distant Speech Recognition for Home Automation". In Smart Health, 161–88. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16226-3_7.
Texto completo da fonteGolubev, Anton, e Natalia Loukachevitch. "Use of Augmentation and Distant Supervision for Sentiment Analysis in Russian". In Text, Speech, and Dialogue, 184–96. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83527-9_16.
Texto completo da fonteRenals, Steve, e Pawel Swietojanski. "Distant Speech Recognition Experiments Using the AMI Corpus". In New Era for Robust Speech Recognition, 355–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64680-0_16.
Texto completo da fonteAstapov, Sergei, Gleb Svirskiy, Aleksandr Lavrentyev, Tatyana Prisyach, Dmitriy Popov, Dmitriy Ubskiy e Vladimir Kabarov. "Acoustic Event Mixing to Multichannel AMI Data for Distant Speech Recognition and Acoustic Event Classification Benchmarking". In Speech and Computer, 31–42. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26061-3_4.
Texto completo da fonteAgarwal, Nidhi, Amita Jain, Ayush Gupta e Devendra Kumar Tayal. "Applying XGBoost Machine Learning Model to Succor Astronomers Detect Exoplanets in Distant Galaxies". In Artificial Intelligence and Speech Technology, 385–404. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95711-7_33.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Distant speech"
Lin, Q., C. Che, D. S. Yak, L. Jin, B. deVries, J. Pearson e J. Flanagan. "Robust distant-talking speech recognition". In 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings. IEEE, 1996. http://dx.doi.org/10.1109/icassp.1996.540280.
Texto completo da fonteGuerrero, Cristina, Georgina Tryfou e Maurizio Omologo. "Channel Selection for Distant Speech Recognition Exploiting Cepstral Distance". In Interspeech 2016. ISCA, 2016. http://dx.doi.org/10.21437/interspeech.2016-865.
Texto completo da fonteThotappa, Deepak, e S. R. Mahadeva Prasanna. "Analysis of Foreground and Distant speech". In TENCON 2015 - 2015 IEEE Region 10 Conference. IEEE, 2015. http://dx.doi.org/10.1109/tencon.2015.7372808.
Texto completo da fonteJin, Qin, Runxin Li, Qian Yang, Kornel Laskowski e Tanja Schultz. "Speaker identification with distant microphone speech". In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495590.
Texto completo da fonteMorales-Cordovilla, Juan A., Hannes Pessentheiner, Martin Hagmüller e Gernot Kubin. "Room localization for distant speech recognition". In Interspeech 2014. ISCA: ISCA, 2014. http://dx.doi.org/10.21437/interspeech.2014-238.
Texto completo da fonteMcDonough, John, e Matthias Wolfel. "Distant Speech Recognition: Bridging the Gaps". In 2008 Hands-Free Speech Communication and Microphone Arrays (HSCMA 2008). IEEE, 2008. http://dx.doi.org/10.1109/hscma.2008.4538699.
Texto completo da fonteRenals, Steve, e Pawel Swietojanski. "Neural networks for distant speech recognition". In 2014 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA). IEEE, 2014. http://dx.doi.org/10.1109/hscma.2014.6843274.
Texto completo da fonteZhao, Tuo, Yunxin Zhao, Shaojun Wang e Mei Han. "UNet++-Based Multi-Channel Speech Dereverberation and Distant Speech Recognition". In 2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP). IEEE, 2021. http://dx.doi.org/10.1109/iscslp49672.2021.9362064.
Texto completo da fonteRavanelli, Mirco, e Maurizio Omologo. "Contaminated speech training methods for robust DNN-HMM distant speech recognition". In Interspeech 2015. ISCA: ISCA, 2015. http://dx.doi.org/10.21437/interspeech.2015-251.
Texto completo da fonteZwyssig, Erich, Mike Lincoln e Steve Renals. "A digital microphone array for distant speech recognition". In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495040.
Texto completo da fonteRelatórios de organizações sobre o assunto "Distant speech"
Zilberman, Mark. Methods to Test the “Dimming Effect” Produced by a Decrease in the Number of Photons Received from Receding Light Sources. Intellectual Archive, junho de 2021. http://dx.doi.org/10.32370/ia_2021_06_22.
Texto completo da fonteStastny, Petr, Robert Roczniok, Daniel Cleather, Martin Musalek, Dominik Novak e Michal Vagner. Straight speed and acceleration optimal distances and reference values. A systematic review, and meta-analyses. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, maio de 2022. http://dx.doi.org/10.37766/inplasy2022.5.0010.
Texto completo da fonteHarris e Vaze. PR-185-0351-R05 Welding for Small to Medium Diameter Gas Pipelines - Real-Time Quality Monitoring. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), abril de 2006. http://dx.doi.org/10.55274/r0011071.
Texto completo da fonteBernau, Jeremiah. The Changing Bonneville Salt Flats. Utah Geological Survey, janeiro de 2024. http://dx.doi.org/10.34191/pi-106.
Texto completo da fonteNascimento, Lucas, Augusto Boening, Abílio Galli, Janaine Polese e Louise Ada. Mechanically-assisted walking training for improving walking speed, walking distance and social participation after stroke: a systematic review protocol. INPLASY - International Platform of Registered Systematic Review Protocols, março de 2020. http://dx.doi.org/10.37766/inplasy2020.3.0007.
Texto completo da fonteRahai, Hamid, e Assma Begum. Numerical Investigations of Transient Wind Shear from Passing Vehicles Near a Road Structure (Part I: Unsteady Reynolds-Averaged Navier-Stokes Simulations). Mineta Transportation Institute, janeiro de 2021. http://dx.doi.org/10.31979/mti.2020.1933.
Texto completo da fonteHeron, Neil, e Sam McCormick. The Physical Demands of Wheelchair Tennis - a Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, março de 2023. http://dx.doi.org/10.37766/inplasy2023.3.0060.
Texto completo da fonteIdris, Iffat. Preventing Atrocities in Conflict and Non-conflict Settings. Institute of Development Studies, agosto de 2022. http://dx.doi.org/10.19088/k4d.2022.137.
Texto completo da fonteKubica, Stefan, Tobias Peuschke-Bischof, Belinda Müller e Robin Avci. Fahrmanöver für Geradeausfahrt. Technische Hochschule Wildau, 2019. http://dx.doi.org/10.15771/1264.
Texto completo da fonteTao, Yang, Amos Mizrach, Victor Alchanatis, Nachshon Shamir e Tom Porter. Automated imaging broiler chicksexing for gender-specific and efficient production. United States Department of Agriculture, dezembro de 2014. http://dx.doi.org/10.32747/2014.7594391.bard.
Texto completo da fonte