Relevant bibliographies by topics / Distant speech

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Distant speech'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Distant speech"

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Sorokin, V. N. "Distant Speech Detection." Acoustical Physics 69, no. 4 (2023): 565–73. http://dx.doi.org/10.1134/s1063771023600250.

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Ashwini, Jaya Kumar, and Ramaswamy Kumaraswamy. "Single-Channel Speech Enhancement Techniques for Distant Speech Recognition." Journal of Intelligent Systems 22, no. 2 (2013): 81–93. http://dx.doi.org/10.1515/jisys-2012-0051.

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AbstractThis article presents an overview of the single-channel dereverberation methods suitable for distant speech recognition (DSR) application. The dereverberation methods are mainly classified based on the domain of enhancement of speech signal captured by a distant microphone. Many single-channel speech enhancement methods focus on either denoising or dereverberating the distorted speech signal. There are very few methods that consider both noise and reverberation effects. Such methods are discussed under a multistage approach in this article. The article concludes with a hypothesis that
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Guerrero Flores, Cristina, Georgina Tryfou, and Maurizio Omologo. "Cepstral distance based channel selection for distant speech recognition." Computer Speech & Language 47 (January 2018): 314–32. http://dx.doi.org/10.1016/j.csl.2017.08.003.

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Nematollahi, Mohammad Ali, and S. A. R. Al-Haddad. "Distant Speaker Recognition: An Overview." International Journal of Humanoid Robotics 13, no. 02 (2016): 1550032. http://dx.doi.org/10.1142/s0219843615500322.

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Distant speaker recognition (DSR) system assumes the microphones are far away from the speaker’s mouth. Also, the position of microphones can vary. Furthermore, various challenges and limitation in terms of coloration, ambient noise and reverberation can bring some difficulties for recognition of the speaker. Although, applying speech enhancement techniques can attenuate speech distortion components, it may remove speaker-specific information and increase the processing time in real-time application. Currently, many efforts have been investigated to develop DSR for commercial viable systems. I
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Swietojanski, Pawel, Arnab Ghoshal, and Steve Renals. "Convolutional Neural Networks for Distant Speech Recognition." IEEE Signal Processing Letters 21, no. 9 (2014): 1120–24. http://dx.doi.org/10.1109/lsp.2014.2325781.

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Polański, Jan. "Free Speech is Incomplete? Big Tech in a Distant Mirror." Yearbook of Antitrust and Regulatory Studies 17, no. 30 (2024): 41–73. https://doi.org/10.7172/1689-9024.yars.2024.17.30.2.

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In 1961, Alexander Meiklejohn claimed that the First Amendment, the US provision guaranteeing free speech, is an absolute. Echoing this in the context of the rise of fake news, Tim Wu has recently asked whether the First Amendment might have become obsolete. Yet, with the growing power of Big Tech, concerns are also voiced that their impact on free speech may go too far. However, there is tension here: on the one hand, the unprecedented role of Big Tech provides incentives for regulation; on the other, free speech is such a sensitive subject that there are reasons for limiting government inter
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Pardede, Hilman F., Asri R. Yuliani, and Rika Sustika. "Convolutional Neural Network and Feature Transformation for Distant Speech Recognition." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 5381. http://dx.doi.org/10.11591/ijece.v8i6.pp5381-5388.

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In many applications, speech recognition must operate in conditions where there are some distances between speakers and the microphones. This is called distant speech recognition (DSR). In this condition, speech recognition must deal with reverberation. Nowadays, deep learning technologies are becoming the the main technologies for speech recognition. Deep Neural Network (DNN) in hybrid with Hidden Markov Model (HMM) is the commonly used architecture. However, this system is still not robust against reverberation. Previous studies use Convolutional Neural Networks (CNN), which is a variation o
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NAKANO, Alberto Yoshihiro, Seiichi NAKAGAWA, and Kazumasa YAMAMOTO. "Distant Speech Recognition Using a Microphone Array Network." IEICE Transactions on Information and Systems E93-D, no. 9 (2010): 2451–62. http://dx.doi.org/10.1587/transinf.e93.d.2451.

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Ravanelli, Mirco, and Maurizio Omologo. "Automatic context window composition for distant speech recognition." Speech Communication 101 (July 2018): 34–44. http://dx.doi.org/10.1016/j.specom.2018.05.001.

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Matassoni, Marco, Maurizio Omologo, Diego Giuliani, and Piergiorgio Svaizer. "Hidden Markov model training with contaminated speech material for distant-talking speech recognition." Computer Speech & Language 16, no. 2 (2002): 205–23. http://dx.doi.org/10.1006/csla.2002.0191.

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Dissertations / Theses on the topic "Distant speech"

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Ravanelli, Mirco. "Deep Learning for Distant Speech Recognition." Doctoral thesis, Università degli studi di Trento, 2017. https://hdl.handle.net/11572/368959.

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Deep learning is an emerging technology that is considered one of the most promising directions for reaching higher levels of artificial intelligence. Among the other achievements, building computers that understand speech represents a crucial leap towards intelligent machines. Despite the great efforts of the past decades, however, a natural and robust human-machine speech interaction still appears to be out of reach, especially when users interact with a distant microphone in noisy and reverberant environments. The latter disturbances severely hamper the intelligibility of a speech signal, m
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Ravanelli, 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.

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Deep learning is an emerging technology that is considered one of the most promising directions for reaching higher levels of artificial intelligence. Among the other achievements, building computers that understand speech represents a crucial leap towards intelligent machines. Despite the great efforts of the past decades, however, a natural and robust human-machine speech interaction still appears to be out of reach, especially when users interact with a distant microphone in noisy and reverberant environments. The latter disturbances severely hamper the intelligibility of a speech signal,
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Liu, Yulan. "Distant speech recognition of natural spontaneous multi-party conversations." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/17691/.

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Distant speech recognition (DSR) has gained wide interest recently. While deep networks keep improving ASR overall, the performance gap remains between using close-talking recordings and distant recordings. Therefore the work in this thesis aims at providing some insights for further improvement of DSR performance. The investigation starts with collecting the first multi-microphone and multi-media corpus of natural spontaneous multi-party conversations in native English with the speaker location tracked, i.e. the Sheffield Wargame Corpus (SWC). The state-of-the-art recognition systems with the
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Mahdian, Toroghi Rahil [Verfasser], and 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.

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Eldridge, 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.

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Titus, 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.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 65-68).<br>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
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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.

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It is a well known fact that high quality Automatic Speech Recognition is still difficult to guarantee under conditions in which the speaker is distant from the microphone due to the distortions caused by acoustic phenomena, such as noise and reverberation. Among the different research directions pursued around this problem, the adoption of multi-channel approaches is of great interest to the community given the potential of taking advantage of information diversity. In this thesis we elaborate on approaches that exploit different instances of a sound source, captured by various largely spaced
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Guerrero, 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.

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It is a well known fact that high quality Automatic Speech Recognition is still difficult to guarantee under conditions in which the speaker is distant from the microphone due to the distortions caused by acoustic phenomena, such as noise and reverberation. Among the different research directions pursued around this problem, the adoption of multi-channel approaches is of great interest to the community given the potential of taking advantage of information diversity. In this thesis we elaborate on approaches that exploit different instances of a sound source, captured by various largely space
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Swietojanski, Paweł. "Learning representations for speech recognition using artificial neural networks." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/22835.

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Learning representations is a central challenge in machine learning. For speech recognition, we are interested in learning robust representations that are stable across different acoustic environments, recording equipment and irrelevant inter– and intra– speaker variabilities. This thesis is concerned with representation learning for acoustic model adaptation to speakers and environments, construction of acoustic models in low-resource settings, and learning representations from multiple acoustic channels. The investigations are primarily focused on the hybrid approach to acoustic modelling ba
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KITAOKA, Norihide, Seiichi NAKAGAWA, and 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.

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Books on the topic "Distant speech"

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Woelfel, Matthias. Distant speech recognition. Wiley, 2009.

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Smoothey, Marion. Time, distance, and speed. Marshall Cavendish, 1993.

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ill, Evans Ted, ed. Time, distance, and speed. Marshall Cavendish, 1993.

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Humphreys, D. Russell. Starlight and time: Solving the puzzle of distant starlight in a young universe. Master Books, 1994.

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Speed, Charles S. Call of a distant drum: The Speeds, the Crittendons, and the New Land. C.S. Speed, 1986.

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Hunt, M. J. Distance measures for speech recognition =: Les distances spectrales pour la reconnaissance de la parole. National Research Council Canada, 1989.

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DIMED 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. Ministério da Educação e Cultura, Instituto Português de Ensino a Distância, 1986.

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Miller, Carol. Project to develop a distance - learning course for teachers of children with speech and language disorders: Finalreport to the Department of Education and Science. School of Education, University of Birmingham, 1991.

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Volmar, Axel, and Kyle Stine, eds. Media Infrastructures and the Politics of Digital Time. Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463727426.

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In a crucial sense, all machines are time machines. The essays in Media Infrastructures and the Politics of Digital Time develop the central concept of hardwired temporalities to consider how technical networks hardwire and rewire patterns of time. Digital media introduce new temporal patterns in their features of instant communication, synchronous collaboration, intricate time management, and continually improved speed. They construct temporal infrastructures that affect the rhythms of lived experience and shape social relations and practices of cooperation. Interdisciplinary in method and in
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McDonough, John, and Matthias Woelfel. Distant Speech Recognition. Wiley & Sons, Incorporated, John, 2009.

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Book chapters on the topic "Distant speech"

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Kendall, Henry W. "Speech to the United Nations Intergovernmental Negotiating Committee." In A Distant Light. Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4419-8507-1_17.

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Zając, Marcin, and Adam Przepiórkowski. "Distant Supervision Learning of DBPedia Relations." In Text, Speech, and Dialogue. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40585-3_25.

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Haderlein, Tino, Elmar Nöth, Wolfgang Herbordt, Walter Kellermann, and Heinrich Niemann. "Using Artificially Reverberated Training Data in Distant-Talking ASR." In Text, Speech and Dialogue. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11551874_29.

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Ji, Mikyong, Sungtak Kim, and Hoirin Kim. "Composite Decision by Bayesian Inference in Distant-Talking Speech Recognition." In Text, Speech and Dialogue. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11846406_58.

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Radeck-Arneth, Stephan, Benjamin Milde, Arvid Lange, et al. "Open Source German Distant Speech Recognition: Corpus and Acoustic Model." In Text, Speech, and Dialogue. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24033-6_54.

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Vacher, Michel, Benjamin Lecouteux, and François Portet. "On Distant Speech Recognition for Home Automation." In Smart Health. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16226-3_7.

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Golubev, Anton, and Natalia Loukachevitch. "Use of Augmentation and Distant Supervision for Sentiment Analysis in Russian." In Text, Speech, and Dialogue. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83527-9_16.

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Renals, Steve, and Pawel Swietojanski. "Distant Speech Recognition Experiments Using the AMI Corpus." In New Era for Robust Speech Recognition. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64680-0_16.

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Astapov, Sergei, Gleb Svirskiy, Aleksandr Lavrentyev, et al. "Acoustic Event Mixing to Multichannel AMI Data for Distant Speech Recognition and Acoustic Event Classification Benchmarking." In Speech and Computer. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26061-3_4.

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Agarwal, Nidhi, Amita Jain, Ayush Gupta, and Devendra Kumar Tayal. "Applying XGBoost Machine Learning Model to Succor Astronomers Detect Exoplanets in Distant Galaxies." In Artificial Intelligence and Speech Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95711-7_33.

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Conference papers on the topic "Distant speech"

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Sontakke, Swapnil, Pradyoth Hegde, Prashant Bannulmath, and Deepak K T. "Mobile Bot Rotation Using Sound Source Localization And Distant Speech Recognition." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610539.

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Venkatesh, Satvik, Philip Coleman, Arthur Benilov, Simon Brown, Selim Sheta, and Frederic Roskam. "How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10887894.

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Lin, Q., C. Che, D. S. Yak, et al. "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.

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Guerrero, Cristina, Georgina Tryfou, and 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.

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Thotappa, Deepak, and 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.

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Jin, Qin, Runxin Li, Qian Yang, Kornel Laskowski, and 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.

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Morales-Cordovilla, Juan A., Hannes Pessentheiner, Martin Hagmüller, and Gernot Kubin. "Room localization for distant speech recognition." In Interspeech 2014. ISCA, 2014. http://dx.doi.org/10.21437/interspeech.2014-238.

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McDonough, John, and 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.

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Renals, Steve, and 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.

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Zhao, Tuo, Yunxin Zhao, Shaojun Wang, and 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.

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Reports on the topic "Distant speech"

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Zilberman, Mark. Methods to Test the “Dimming Effect” Produced by a Decrease in the Number of Photons Received from Receding Light Sources. Intellectual Archive, 2021. http://dx.doi.org/10.32370/ia_2021_06_22.

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The hypothetical “Dimming effect” describes the change of the number of photons arriving from a receding light source per unit of time. In non-relativistic systems,the "Dimming effect" occurs due to the fact that as light sources move away, the distance between the emitter and the receiver constantly increases, and the photons always take longer to reach the receiver. This reduces the number of photons received per time unit compared to the number of emitted photons per time unit. Negligible for speeds incomparable with the speed of light c, the "Dimming effect" can be very significant for spe
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Stastny, Petr, Robert Roczniok, Daniel Cleather, Martin Musalek, Dominik Novak, and 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, 2022. http://dx.doi.org/10.37766/inplasy2022.5.0010.

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Review question / Objective: To summarize the sprint reference acceleration and speed values for different sprint distances and suggest optimal unification of ice-hockey straight sprint testing. Eligibility criteria: The title and abstract screening was done by two researchers (PS and RR) who selected a set of articles for full text screening, where the inclusion criteria were: 1) male or female ice-hockey players; 2) any cross-sectional or intervention study; 3) tests of ice-hockey sprinting over any distance or any battery of conditioning tests that included straight-line sprints; and, 4) re
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Harris and Vaze. PR-185-0351-R05 Welding for Small to Medium Diameter Gas Pipelines - Real-Time Quality Monitoring. Pipeline Research Council International, Inc. (PRCI), 2006. http://dx.doi.org/10.55274/r0011071.

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A literature review was conducted to establish and highlight the state of the art for real-time quality monitoring (RTQM). Work in this task advanced the state of the art in terms of achieving constant welding power input at constant contact tip-to-workpiece distance (CTWD), thus achieving constant welding heat input at constant welding travel speed. This was coupled with high speed on-board DAQ to achieve RTQM, in these terms.
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Bernau, Jeremiah. The Changing Bonneville Salt Flats. Utah Geological Survey, 2024. http://dx.doi.org/10.34191/pi-106.

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The Bonneville Salt Flats in western Utah are renowned worldwide for hosting land-speed racing events. They are easily accessible from Interstate 80 and are managed by the Bureau of Land Management. This distinct landscape spans approximately 5 miles wide by 12 miles long, featuring a smooth, hard salt crust that draws thousands of visitors each year.
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Nascimento, Lucas, Augusto Boening, Abílio Galli, Janaine Polese, and 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, 2020. http://dx.doi.org/10.37766/inplasy2020.3.0007.

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McAllister, Jamie, Brendan McCarrick, and Zelda Zhao. Environmental and Health Impacts of Thermal Runaway Events in Outdoor Lithium-Ion Battery Energy Storage System Installations. SFPE Foundation, 2025. https://doi.org/10.64167/3d04-pax1.

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This research presents a methodology to assess the health and environmental impacts from thermal runaway events in outdoor, large-scale, Li-ion BESS units. Through application of the methodology, a relationship between exposure limit distance and wind speed, ambient temperature, event duration, cell chemistry, and toxic gas species can be established. This study did not consider other health factors, such as thermal exposure. The methodology involves a literature review to aggregate data, plume dispersion modeling, and a risk analysis of the model results.
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Rahai, Hamid, and 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, 2021. http://dx.doi.org/10.31979/mti.2020.1933.

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In this research, the authors performed unsteady numerical simulations of a moving Ahmed body under a freeway overpass at different distances from the bridge columns in order to evaluate transient wind shear and the wind load on these columns. Results have shown that when the vehicle is at 0.75W distance from the bridge columns, an unsteady wind speed of up to 24 m/s is observed at the columns with a pressure coefficient difference of 0.9. Here W is the width of the vehicle. These results indicate with an appropriate system for harnessing these wind energy potentials, significant renewable ele
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Reyes, Antuanet. From Policy to Practice: Non-Conventional Renewables Integration and Policy Reforms in Chile and Peru. University of Dundee, 2025. https://doi.org/10.20933/100001399.

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Latin America's energy transition is advancing at different speeds across the region, with Chile and Peru representing two distinct approaches. Chile, a leader in renewable energy deployment, faces structural challenges, including financial difficulties among generators and transmission bottlenecks due to a lack of a robust infrastructure. Meanwhile, Peru remains in the early stages of its energy transition, with recent legal reforms attempting to facilitate non-conventional renewable integration but lacking a comprehensive national strategy. This paper examines regulatory challenges in both c
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Heron, Neil, and Sam McCormick. The Physical Demands of Wheelchair Tennis - a Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0060.

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Review question / Objective: Our aim was to describe and synthesise the physical demands of wheelchair tennis. We reviewed the data across different playing surfaces, performance levels and sex of tennis players. Eligibility criteria: Studies had to meet the criteria below to be included in the review:i. The paper reported on participants playing singles or doubles wheelchair tennis matches (all ages, performance levels, quad or open category and court surfaces).ii. The data collected was related to the duration of play (e.g. length of match, effective playing time), on-court movement characte
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Idris, Iffat. Preventing Atrocities in Conflict and Non-conflict Settings. Institute of Development Studies, 2022. http://dx.doi.org/10.19088/k4d.2022.137.

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Atrocity prevention refers to activities to prevent atrocity crimes against civilians. These include genocide, war crimes, crimes against humanity and ethnic cleansing, and can take place in both conflict and non-conflict settings. This points to the need to prioritise and implement atrocity prevention specifically, and not just as part of conflict prevention efforts. Atrocity prevention interventions are broadly of two types: operational (short-term responses) and structural (addressing underlying causes/drivers). These encompass a wide range of approaches including: acting locally (with loca
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