Relevant bibliographies by topics / Acoustic speech analysis

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
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Academic literature on the topic 'Acoustic speech analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Acoustic speech analysis"

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Masih, Dawa A. A., Nawzad K. Jalal, Manar N. A. Mohammed, and Sulaiman A. Mustafa. "The Assessment of Acoustical Characteristics for Recent Mosque Buildings in Erbil City of Iraq." ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY 9, no. 1 (2021): 51–66. http://dx.doi.org/10.14500/aro.10784.

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The study of mosque acoustics, concerning acoustical features, sound quality for speech intelligibility, and additional practical acoustic criteria, is commonly overlooked. Acoustic quality is vital to the fundamental use of mosques, in terms of contributing toward prayers and worshippers’ appreciation. This paper undertakes a comparative analysis of the acoustic quality level and the acoustical characteristics for two modern mosque buildings constructed in Erbil city. This work investigates and examines the acoustical quality and performance of these two mosques and their prayer halls through
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Duran, Sebastian, Martyn Chambers, and Ioannis Kanellopoulos. "An Archaeoacoustics Analysis of Cistercian Architecture: The Case of the Beaulieu Abbey." Acoustics 3, no. 2 (2021): 252–69. http://dx.doi.org/10.3390/acoustics3020018.

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The Cistercian order is of acoustic interest because previous research has hypothesized that Cistercian architectural structures were designed for longer reverberation times in order to reinforce Gregorian chants. The presented study focused on an archaeoacacoustics analysis of the Cistercian Beaulieu Abbey (Hampshire, England, UK), using Geometrical Acoustics (GA) to recreate and investigate the acoustical properties of the original structure. To construct an acoustic model of the Abbey, the building’s dimensions and layout were retrieved from published archaeology research and comparison wit
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Askenfelt, Anders G., and Britta Hammarberg. "Speech Waveform Perturbation Analysis." Journal of Speech, Language, and Hearing Research 29, no. 1 (1986): 50–64. http://dx.doi.org/10.1044/jshr.2901.50.

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The performance of seven acoustic measures of cycle-to-cycle variations (perturbations) in the speech waveform was compared. All measures were calculated automatically and applied on running speech. Three of the measures refer to the frequency of occurrence and severity of waveform perturbations in special selected parts of the speech, identified by means of the rate of change in the fundamental frequency. Three other measures refer to statistical properties of the distribution of the relative frequency differences between adjacent pitch periods. One perturbation measure refers to the percenta
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Chenausky, Karen, Joel MacAuslan, and Richard Goldhor. "Acoustic Analysis of PD Speech." Parkinson's Disease 2011 (2011): 1–13. http://dx.doi.org/10.4061/2011/435232.

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According to the U.S. National Institutes of Health, approximately 500,000 Americans have Parkinson's disease (PD), with roughly another 50,000 receiving new diagnoses each year. 70%–90% of these people also have the hypokinetic dysarthria associated with PD. Deep brain stimulation (DBS) substantially relieves motor symptoms in advanced-stage patients for whom medication produces disabling dyskinesias. This study investigated speech changes as a result of DBS settings chosen to maximize motor performance. The speech of 10 PD patients and 12 normal controls was analyzed for syllable rate and va
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M, Manjutha. "Acoustic Analysis of Formant Frequency Variation in Tamil Stuttered Speech." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 2934–44. http://dx.doi.org/10.5373/jardcs/v12sp7/20202438.

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Weedon, B., E. Hellier, J. Edworthy, and K. Walters. "Perceived Urgency in Speech Warnings." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 22 (2000): 690–93. http://dx.doi.org/10.1177/154193120004402251.

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Two experiments are reported that investigate the effects of acoustics and semantics in verbal warnings. In the first experiment subjects rated the urgency of warning signal words spoken in different presentation styles (URGENT, NON-URGENT, MONOTONE). Significant differences in urgency ratings were found between presentation styles. Acoustic analysis revealed how acoustic parameters differed within these different presentation styles. These acoustic measurements were used to construct synthesised speech warnings that differed in urgency. They were rated in experiment 2 and the predicted differ
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Keller, Eric, Patrick Vigneux, and Martine Laframboise. "Acoustic analysis of neurologically impaired speech." International Journal of Language & Communication Disorders 26, no. 1 (1991): 75–94. http://dx.doi.org/10.3109/13682829109011993.

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Thakore, Jogin, Viliam Rapcan, Shona Darcy, Sherlyn Yeap, Natasha Afzal, and Richard Reilly. "Acoustic and temporal analysis of speech." International Clinical Psychopharmacology 26 (September 2011): e131. http://dx.doi.org/10.1097/01.yic.0000405855.63819.e2.

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Sondhi, Savita, Munna Khan, Ritu Vijay, Ashok K. Salhan, and Satish Chouhan. "Acoustic analysis of speech under stress." International Journal of Bioinformatics Research and Applications 11, no. 5 (2015): 417. http://dx.doi.org/10.1504/ijbra.2015.071942.

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O'Shaughnessy, Douglas. "Acoustic Analysis for Automatic Speech Recognition." Proceedings of the IEEE 101, no. 5 (2013): 1038–53. http://dx.doi.org/10.1109/jproc.2013.2251592.

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Dissertations / Theses on the topic "Acoustic speech analysis"

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John, Jeeva. "Acoustic Analysis of Speech of Persons with Autistic Spectrum Disorders." Bowling Green State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1206329066.

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Nulsen, Susan, and n/a. "Combining acoustic analysis and phonotactic analysis to improve automatic speech recognition." University of Canberra. Information Sciences & Engineering, 1998. http://erl.canberra.edu.au./public/adt-AUC20060825.131042.

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This thesis addresses the problem of automatic speech recognition, specifically, how to transform an acoustic waveform into a string of words or phonemes. A preliminary chapter gives linguistic information potentially useful in automatic speech recognition. This is followed by a description of the Wave Analysis Laboratory (WAL), a rule-based system which detects features in speech and was designed as the acoustic front end of a speech recognition system. Temporal reasoning as used in WAL rules is examined. The use of WAL in recognizing one particular class of speech sounds, the nasal consonant
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Brock, James L. "Acoustic classification using independent component analysis /." Link to online version, 2006. https://ritdml.rit.edu/dspace/handle/1850/2067.

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Singh-Miller, Natasha 1981. "Neighborhood analysis methods in acoustic modeling for automatic speech recognition." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62450.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 121-134).<br>This thesis investigates the problem of using nearest-neighbor based non-parametric methods for performing multi-class class-conditional probability estimation. The methods developed are applied to the problem of acoustic modeling for speech recognition. Neighborhood components analysis (NCA) (Goldberger et al. [2005]) serves as the departure point for this study. NCA is a non-paramet
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Williams, A. Lynn. "Phonologic and Acoustic Analyses of Final Consonant Omission." Digital Commons @ East Tennessee State University, 1998. https://dc.etsu.edu/etsu-works/2008.

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Acoustic analyses have recently been brought to bear on the phonological error pattern of final consonant omission. The results from such acoustic analyses have generally supported the correctness of the phonological analyses. The purpose of this report is to present seemingly conflicting results from a generative phonological analysis and an acoustic analysis of one misarticulating child who omitted word-final obstruents. The apparent conflict is resolved in terms of two possible explanations with differing treatment implications.
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Lee, Matthew E. "Acoustic Models for the Analysis and Synthesis of the Singing Voice." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6859.

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Throughout our history, the singing voice has been a fundamental tool for musical expression. While analysis and digital synthesis techniques have been developed for normal speech, few models and techniques have been focused on the singing voice. The central theme of this research is the development of models aimed at the characterization and synthesis of the singing voice. First, a spectral model is presented in which asymmetric generalized Gaussian functions are used to represent the formant structure of a singing voice in a flexible manner. Efficient methods for searching the parameter
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Ng, So-sum. "Acoustic analysis of contour tones produced by Cantonese dysarthric speakers." Click to view the E-thesis via HKUTO, 2001. http://sunzi.lib.hku.hk/hkuto/record/B36208024.

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Thesis (B.Sc)--University of Hong Kong, 2001.<br>"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, May 4, 2001." Also available in print.
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Srinivasan, Nandini. "Acoustic Analysis of English Vowels by Young Spanish-English Bilingual Language Learners." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10815722.

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<p> Several studies across various languages have shown that monolingual listeners perceive significant differences between the speech of monolinguals and bilinguals. However, these differences may not always affect the phoneme category as identified by the listener or the speaker; differences may often be found between tokens corresponding to unique phonological categories and, as such, be more easily detectable through acoustic analysis. We hypothesized that unshared English vowels produced by young Spanish-English bilinguals would have measurably different formant values and duration than t
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Odlozinski, Lisa M. "An acoustic analysis of speech rate control procedures in Parkinson's disease." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0004/MQ30738.pdf.

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Cao, Ying Alisa 1979. "Analysis of acoustic cues for identifying consonant /ð/ in continuous speech." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87279.

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Books on the topic "Acoustic speech analysis"

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Kent, Raymond D. The acoustic analysis of speech. Singular, 1996.

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1940-, Read Charles, ed. The acoustic analysis of speech. 2nd ed. Singular/Thomson Learning, 2002.

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1940-, Read Charles, ed. The acoustic analysis of speech. Singular Pub. Group, 1992.

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Kent, Raymond D. The acoustic analysis of speech. Whurr, 1992.

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Patryn, Ryszard. Phonetic-acoustic analysis of Polish speech sounds. Wydawnictwa Uniwersytetu Warszawskiego, 1987.

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Chuang, Ming-Fei. Interactive tools for sound signal analysis. Naval Postgraduate School, 1997.

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Harrington, Jonathan. Techniques in speech acoustics. Kluwer Academic Publishers, 1999.

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1952-, Cassidy Steve, ed. Techniques in speech acoustics. Kluwer Academic Publishers, 1999.

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Bolla, Kálmán. A phonetic conspectus of English: The articulatory and acoustic features of British English speech sounds. Linguistics Institute of the Hungarian Academy of Sciences, 1989.

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Thvanʻʺ, Sinʻʺ. Le lhuiṅʻ Saddabeda nhaṅʻʹ Mranʻ māʹ Saddavivuḍṭi niyāmabeda (Le lhuiṅʻ saddabeda nhaṅʻʹ Mranʻ mā ca kāʺ saṃ proṅʻ lai mhu ca nacʻ ) =: Acoustic phonetics and the phonology of the Myanmar Language (Theories and practices for practical language analysis). Rvhe raññʻ Mraṅʻʹ mratʻ Cā pe, 2007.

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Book chapters on the topic "Acoustic speech analysis"

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Verkhodanova, Vasilisa, Vladimir Shapranov, and Irina Kipyatkova. "Hesitations in Spontaneous Speech: Acoustic Analysis and Detection." In Speech and Computer. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66429-3_39.

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Fant, Gunnar, Anita Kruckenberg, and Johan Liljencrants. "Acoustic-phonetic Analysis of Prominence in Swedish." In Text, Speech and Language Technology. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4317-2_3.

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Howell, Peter, Mark Williams, and Louise Vause. "Acoustic Analysis of Repetitions in Stutterers’ Speech." In Speech Motor Dynamics in Stuttering. Springer Vienna, 1987. http://dx.doi.org/10.1007/978-3-7091-6969-8_29.

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de Cheveigné, Alain. "The Cancellation Principle in Acoustic Scene Analysis." In Speech Separation by Humans and Machines. Springer US, 2005. http://dx.doi.org/10.1007/0-387-22794-6_16.

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Li, Aijun. "Acoustic and Articulatory Analysis of Emotional Vowels." In Encoding and Decoding of Emotional Speech. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47691-8_4.

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Bauer, Dominik, Jim Kannampuzha, and Bernd J. Kröger. "Articulatory Speech Re-synthesis: Profiting from Natural Acoustic Speech Data." In Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03320-9_32.

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Drugman, Thomas, Myriam Rijckaert, George Lawson, and Marc Remacle. "Analysis and Quantification of Acoustic Artefacts in Tracheoesophageal Speech." In Advances in Nonlinear Speech Processing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38847-7_14.

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Ludeña-Choez, Jimmy, and Ascensión Gallardo-Antolín. "NMF-Based Spectral Analysis for Acoustic Event Classification Tasks." In Advances in Nonlinear Speech Processing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38847-7_2.

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Cui, Dandan, and Lianhong Cai. "Acoustic and Physiological Feature Analysis of Affective Speech." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-37275-2_114.

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Lech, Margaret, and Ling He. "Stress and Emotion Recognition Using Acoustic Speech Analysis." In Mental Health Informatics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38550-6_9.

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Conference papers on the topic "Acoustic speech analysis"

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Pucher, Michael, and Dietmar Schabus. "Visio-articulatory to acoustic conversion of speech." In FAA '15: Facial Analysis and Animation. ACM, 2015. http://dx.doi.org/10.1145/2813852.2813858.

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Itoh, Taisuke, Kazuya Takeda, and Fumitada Itakura. "Acoustic analysis and recognition of whispered speech." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5743736.

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Itoh, Takeda, and Itakura. "Acoustic analysis and recognition of whispered speech." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1005758.

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Hakim, Faisal Abdul, Miranti Indar Mandasari, Joko Sarwono, et al. "Acoustic Speech Analysis Of Wayang Golek Puppeteer." In THE 4TH ASIAN PHYSICS SYMPOSIUM—AN INTERNATIONAL SYMPOSIUM. AIP, 2010. http://dx.doi.org/10.1063/1.3537939.

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Krishnamurthy, Nitish, and John H. L. Hansen. "Speech babble: Analysis and modeling for speech systems." In ICASSP 2008. IEEE International Conference on Acoustic, Speech and Signal Processes. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4518657.

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Fan, Xing, and John H. L. Hansen. "Acoustic analysis for speaker identification of whispered speech." In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495059.

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Castellanos, G., G. Daza, L. Sanchez, O. Castrillon, and J. Suarez. "Acoustic Speech Analysis for Hypernasality Detection in Children." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260572.

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Castellanos, G., G. Daza, L. Sanchez, O. Castrillon, and J. Suarez. "Acoustic Speech Analysis for Hypernasality Detection in Children." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4398702.

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Berg, Yana A., Anastasia V. Nenko, and Daria V. Borovikova. "Analysis of Acoustic Parameters of the Speech Apparatus." In 2020 21st International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM). IEEE, 2020. http://dx.doi.org/10.1109/edm49804.2020.9153533.

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Geethashree, A., and D. J. Ravi. "Acoustic and Spectral Analysis of Kannada Emotional Speech." In Third International Conference on Current Trends in Engineering Science and Technology ICCTEST-2017. Grenze Scientific Society, 2017. http://dx.doi.org/10.21647/icctest/2017/48934.

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Reports on the topic "Acoustic speech analysis"

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Colosi, John A. An Analysis of Long-Range Acoustic Propagation Fluctuations and Upper Ocean Sound Speed Variability. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada441242.

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Colosi, John A. An Analysis of Long-Range Acoustic Propagation Fluctuations and Upper Ocean Sound Speed Variability. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada629913.

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Colosi, John A. An Analysis of Long-Range Acoustic Propagation Fluctuations and Upper Ocean Sound Speed Variability. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada625607.

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Colosi, John A., and Jinshan Xu. An Analysis of Upper Ocean Sound Speed Variability and its Effects on Long-Range Acoustic Fluctuations Observed for the North Pacific Acoustic Laboratory. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada450109.

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Colosi, John A. Analysis and Modeling of Ocean Acoustic Fluctuations and Moored Observations of Philippine Sea Sound-Speed Structure. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531640.

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Colosi, John A. Analysis and Modeling of Ocean Acoustic Fluctuations and Moored Observations of Philippine Sea Sound-Speed Structure. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada571573.

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Colosi, John A. Analysis and Modeling of Ocean Acoustic Fluctuations and Moored Observations of Philippine Sea Sound-Speed Structure. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada574824.

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