Relevant bibliographies by topics / Visual speech information

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

Academic literature on the topic 'Visual speech information'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Visual speech information"

1

Miller, Rachel M., Kauyumari Sanchez, and Lawrence D. Rosenblum. "Alignment to visual speech information." Attention, Perception, & Psychophysics 72, no. 6 (August 2010): 1614–25. http://dx.doi.org/10.3758/app.72.6.1614.

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Rosenblum, Lawrence D., Deborah A. Yakel, Naser Baseer, Anjani Panchal, Brynn C. Nodarse, and Ryan P. Niehus. "Visual speech information for face recognition." Perception & Psychophysics 64, no. 2 (February 2002): 220–29. http://dx.doi.org/10.3758/bf03195788.

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Yakel, Deborah A., and Lawrence D. Rosenblum. "Face identification using visual speech information." Journal of the Acoustical Society of America 100, no. 4 (October 1996): 2570. http://dx.doi.org/10.1121/1.417401.

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Weinholtz, Chase, and James W. Dias. "Categorical perception of visual speech information." Journal of the Acoustical Society of America 139, no. 4 (April 2016): 2018. http://dx.doi.org/10.1121/1.4949950.

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HISANAGA, Satoko, Kaoru SEKIYAMA, Tomohiko IGASAKI, and Nobuki MURAYAMA. "Effects of visual information on audio-visual speech processing." Proceedings of the Annual Convention of the Japanese Psychological Association 75 (September 15, 2011): 2AM061. http://dx.doi.org/10.4992/pacjpa.75.0_2am061.

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Sell, Andrea J., and Michael P. Kaschak. "Does visual speech information affect word segmentation?" Memory & Cognition 37, no. 6 (September 2009): 889–94. http://dx.doi.org/10.3758/mc.37.6.889.

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Hall, Michael D., Paula M. T. Smeele, and Patricia K. Kuhl. "Integration of auditory and visual speech information." Journal of the Acoustical Society of America 103, no. 5 (May 1998): 2985. http://dx.doi.org/10.1121/1.421677.

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McGiverin, Rolland. "Speech, Hearing and Visual." Behavioral & Social Sciences Librarian 8, no. 3-4 (April 16, 1990): 73–78. http://dx.doi.org/10.1300/j103v08n03_12.

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Hollich, George J., Peter W. Jusczyk, and Rochelle S. Newman. "Infants use of visual information in speech segmentation." Journal of the Acoustical Society of America 110, no. 5 (November 2001): 2703. http://dx.doi.org/10.1121/1.4777318.

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Tekin, Ender, James Coughlan, and Helen Simon. "Improving speech enhancement algorithms by incorporating visual information." Journal of the Acoustical Society of America 134, no. 5 (November 2013): 4237. http://dx.doi.org/10.1121/1.4831575.

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Dissertations / Theses on the topic "Visual speech information"

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Le, Cornu Thomas. "Reconstruction of intelligible audio speech from visual speech information." Thesis, University of East Anglia, 2016. https://ueaeprints.uea.ac.uk/67012/.

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The aim of the work conducted in this thesis is to reconstruct audio speech signals using information which can be extracted solely from a visual stream of a speaker's face, with application for surveillance scenarios and silent speech interfaces. Visual speech is limited to that which can be seen of the mouth, lips, teeth, and tongue, where the visual articulators convey considerably less information than in the audio domain, leading to the task being difficult. Accordingly, the emphasis is on the reconstruction of intelligible speech, with less regard given to quality. A speech production mo
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Andrews, Brandie. "Auditory and visual information facilitating speech integration." Connect to resource, 2007. http://hdl.handle.net/1811/25202.

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Thesis (Honors)--Ohio State University, 2007.<br>Title from first page of PDF file. Document formatted into pages: contains 43 p.; also includes graphics. Includes bibliographical references (p. 27-28). Available online via Ohio State University's Knowledge Bank.
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Fixmer, Eric Norbert Charles. "Grouping of auditory and visual information in speech." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.612553.

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Keintz, Constance Kay. "Influence of visual information on the intelligibility of dysarthric speech." Diss., The University of Arizona, 2005. http://hdl.handle.net/10150/280714.

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Purpose. The purpose of this study was to examine the influence of visual information on the intelligibility of dysarthric speech. The two research questions posed by this study were: (1) Does the presentation mode (auditory-only versus auditory-visual) influence the intelligibility of a homogeneous group of speakers with dysarthria? and (2) Does the experience of the listener (experienced versus inexperienced with dysarthric speech) influence the intelligibility scores of these speakers? Background. Investigations of speakers with hearing impairment and laryngectomy have indicated that intell
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Hagrot, Joel. "A Data-Driven Approach For Automatic Visual Speech In Swedish Speech Synthesis Applications." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-246393.

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This project investigates the use of artificial neural networks for visual speech synthesis. The objective was to produce a framework for animated chat bots in Swedish. A survey of the literature on the topic revealed that the state-of-the-art approach was using ANNs with either audio or phoneme sequences as input. Three subjective surveys were conducted, both in the context of the final product, and in a more neutral context with less post-processing. They compared the ground truth, captured using the deep-sensing camera of the iPhone X, against both the ANN model and a baseline model. The st
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Bergmann, Kirsten, and Stefan Kopp. "Verbal or visual? : How information is distributed across speech and gesture in spatial dialog." Universität Potsdam, 2006. http://opus.kobv.de/ubp/volltexte/2006/1037/.

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In spatial dialog like in direction giving humans make frequent use of speechaccompanying gestures. Some gestures convey largely the same information as speech while others complement speech.<br> This paper reports a study on how speakers distribute meaning across speech and gesture, and depending on what factors. Utterance meaning and the wider dialog context were tested by statistically analyzing a corpus of direction-giving dialogs. Problems of speech production (as indicated by discourse markers and disfluencies), the communicative goals, and the information status were found to be influen
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Erdener, Vahit Doğu. "The effect of auditory, visual and orthographic information on second language acquisition /." View thesis View thesis, 2002. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030408.114825/index.html.

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Thesis (MA (Hons)) -- University of Western Sydney, 2002.<br>"A thesis submitted in partial fulfillment of the requirements for the degree of Masters of Arts (Honours), MARCS Auditory Laboratories & School of Psychology, University of Western Sydney, May 2002" Bibliography : leaves 83-93.
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Patterson, Robert W. "The effects of inaccurate speech information on performance in a visual search and identification task." Thesis, Georgia Institute of Technology, 1987. http://hdl.handle.net/1853/30481.

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Erdener, Vahit Dogu, University of Western Sydney, of Arts Education and Social Sciences College, and School of Psychology. "The effect of auditory, visual and orthographic information on second language acquisition." THESIS_CAESS_PSY_Erdener_V.xml, 2002. http://handle.uws.edu.au:8081/1959.7/685.

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The current study investigates the effect of auditory and visual speech information and orthographic information on second/foreign language (L2) acquisition. To test this, native speakers of Turkish (a language with a transparent orthography) and native speakers of Australian English (a language with an opaque orthography) were exposed to Spanish (transparent orthography) and Irish (opaque orthography) legal non-word items in four experimental conditions: auditory-only, auditory-visual, auditory-orthographic, and auditory-visual-orthographic. On each trial, Turkish and Australian English speak
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Ostroff, Wendy Louise. "Non-linguistic Influences on Infants' Nonnative Phoneme Perception: Exaggerated prosody and Visual Speech Information Aid Discrimination." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/27640.

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Research indicates that infants lose the capacity to perceive distinctions in nonnative sounds as they become sensitive to the speech sounds of their native language (i.e., by 10- to 12-months of age). However, investigations into the decline in nonnative phonetic perception have neglected to examine the role of non-linguistic information. Exaggerated prosodic intonation and facial input are prominent in the infantsâ language-learning environment, and both have been shown to ease the task of speech perception. The current investigation was designed to examine the impact of infant-directed
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Books on the topic "Visual speech information"

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Massaro, Dominic W. Speech perception by ear and eye: A paradigm for psychological inquiry. Hillsdale, N.J: Erlbaum Associates, 1987.

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Wayne, Cranton, Fihn Mark, and SpringerLink (Online service), eds. Handbook of Visual Display Technology. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Learning disabilities sourcebook: Basic consumer health information about dyslexia, dyscalculia, dysgraphia, speech and communication disorders, auditory and visual processing disorders, and other conditions that make learning difficult, including attention deficit hyperactivity disorder, down syndrome and other chromosomal disorders, fetal alcohol spectrum disorders, hearing and visual impairment, autism and other pervasive developmental disorders, and traumatic brain Injury; along with facts about diagnosing learning disabilities, early intervention, the special education process, legal protections, assistive technology, and accommodations, and guidelines for life-stage transitions, suggestions for coping with daily challenges, a glossary of related terms, and a directory of additional resources. 4th ed. Detroit, MI: Omnigraphics, 2012.

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Simpson, Jeffry A., and Dominic W. Massaro. Speech Perception by Ear and Eye: A Paradigm for Psychological Inquiry. Taylor & Francis Group, 2016.

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Massaro, Dominic W. Speech Perception by Ear and Eye: A Paradigm for Psychological Inquiry. Taylor & Francis Group, 2014.

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Massaro, Dominic W. Speech Perception by Ear and Eye: A Paradigm for Psychological Inquiry. Taylor & Francis Group, 2014.

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Simpson, Jeffry A., and Dominic W. Massaro. Speech Perception by Ear and Eye: A Paradigm for Psychological Inquiry. Taylor & Francis Group, 2014.

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Simpson, Jeffry A., and Dominic W. Massaro. Speech Perception by Ear and Eye: A Paradigm for Psychological Inquiry. Taylor & Francis Group, 2014.

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Massaro, Dominic W. Speech Perception by Ear and Eye: A Paradigm for Psychological Inquiry. Taylor & Francis Group, 2014.

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Massaro, Dominic W. Speech Perception by Ear and Eye: A Paradigm for Psychological Inquiry. Taylor & Francis Group, 2014.

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Book chapters on the topic "Visual speech information"

1

Pondit, Ashish, Muhammad Eshaque Ali Rukon, Anik Das, and Muhammad Ashad Kabir. "BenAV: a Bengali Audio-Visual Corpus for Visual Speech Recognition." In Neural Information Processing, 526–35. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92270-2_45.

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Gupta, Deepika, Preety Singh, V. Laxmi, and Manoj S. Gaur. "Boundary Descriptors for Visual Speech Recognition." In Computer and Information Sciences II, 307–13. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2155-8_39.

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Giachanou, Anastasia, Guobiao Zhang, and Paolo Rosso. "Multimodal Fake News Detection with Textual, Visual and Semantic Information." In Text, Speech, and Dialogue, 30–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58323-1_3.

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Wu, Shiow-yang, and Wen-Shen Chen. "Oral-Query-by-Sketch: An XML-Based Framework for Speech Access to Image Databases." In Visual and Multimedia Information Management, 341–55. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35592-4_24.

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Sagheer, Alaa, and Saleh Aly. "Integration of Face Detection and User Identification with Visual Speech Recognition." In Neural Information Processing, 479–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34500-5_57.

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Gui, Jiaping, and Shilin Wang. "Shape Feature Analysis for Visual Speech and Speaker Recognition." In Communications in Computer and Information Science, 167–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23235-0_22.

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Nakamura, Satoshi. "Fusion of Audio-Visual Information for Integrated Speech Processing." In Lecture Notes in Computer Science, 127–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45344-x_20.

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Foo, Say Wei, and Liang Dong. "Recognition of Visual Speech Elements Using Hidden Markov Models." In Advances in Multimedia Information Processing — PCM 2002, 607–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36228-2_75.

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Bastanfard, Azam, Mohammad Aghaahmadi, Alireza Abdi kelishami, Maryam Fazel, and Maedeh Moghadam. "Persian Viseme Classification for Developing Visual Speech Training Application." In Advances in Multimedia Information Processing - PCM 2009, 1080–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10467-1_104.

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Galuščáková, Petra, Pavel Pecina, and Jan Hajič. "Penalty Functions for Evaluation Measures of Unsegmented Speech Retrieval." In Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics, 100–111. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33247-0_12.

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Conference papers on the topic "Visual speech information"

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Akdemir, Eren, and Tolga Ciloglu. "Using visual information in automatic speech segmentation." In 2008 IEEE 16th Signal Processing, Communication and Applications Conference (SIU). IEEE, 2008. http://dx.doi.org/10.1109/siu.2008.4632641.

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Kawase, Saya, Jeesun Kim, Vincent Aubanel, and Chris Davis. "Perceiving foreign-accented auditory-visual speech in noise: The influence of visual form and timing information." In Speech Prosody 2016. ISCA, 2016. http://dx.doi.org/10.21437/speechprosody.2016-99.

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Chen, Tsuhan, H. P. Graf, Homer H. Chen, Wu Chou, Barry G. Haskell, Eric D. Petajan, and Yao Wang. "Lip synchronization in talking head video utilizing speech information." In Visual Communications and Image Processing '95, edited by Lance T. Wu. SPIE, 1995. http://dx.doi.org/10.1117/12.206706.

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Jiang, Wei, Lexing Xie, and Shih-Fu Chang. "Visual saliency with side information." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4959946.

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Karabalkan, H., and H. Erdogan. "Information fusion techniques in Audio-Visual Speech Recognition." In 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU). IEEE, 2009. http://dx.doi.org/10.1109/siu.2009.5136443.

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Maulana, Muhammad Rizki Aulia Rahman, and Mohamad Ivan Fanany. "Indonesian audio-visual speech corpus for multimodal automatic speech recognition." In 2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS). IEEE, 2017. http://dx.doi.org/10.1109/icacsis.2017.8355062.

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Aubanel, Vincent, Cassandra Masters, Jeesun Kim, and Chris Davis. "Contribution of visual rhythmic information to speech perception in noise." In The 14th International Conference on Auditory-Visual Speech Processing. ISCA: ISCA, 2017. http://dx.doi.org/10.21437/avsp.2017-18.

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Hui Zhao and Chaojing Tang. "Visual speech synthesis based on Chinese dynamic visemes." In 2008 International Conference on Information and Automation (ICIA). IEEE, 2008. http://dx.doi.org/10.1109/icinfa.2008.4607983.

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Luo, Yiyu, Jing Wang, Xinyao Wang, Liang Wen, and Lizhong Wang. "Audio-Visual Speech Separation Using I-Vectors." In 2019 IEEE 2nd International Conference on Information Communication and Signal Processing (ICICSP). IEEE, 2019. http://dx.doi.org/10.1109/icicsp48821.2019.8958547.

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Lu, Longbin, Xinman Zhang, and Xuebin Xu. "Fusion of face and visual speech information for identity verification." In 2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS). IEEE, 2017. http://dx.doi.org/10.1109/ispacs.2017.8266530.

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Reports on the topic "Visual speech information"

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Yatsymirska, Mariya. SOCIAL EXPRESSION IN MULTIMEDIA TEXTS. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11072.

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The article investigates functional techniques of extralinguistic expression in multimedia texts; the effectiveness of figurative expressions as a reaction to modern events in Ukraine and their influence on the formation of public opinion is shown. Publications of journalists, broadcasts of media resonators, experts, public figures, politicians, readers are analyzed. The language of the media plays a key role in shaping the worldview of the young political elite in the first place. The essence of each statement is a focused thought that reacts to events in the world or in one’s own country. Th
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