Relevant bibliographies by topics / Multimodal analysis and synthesis

Academic literature on the topic 'Multimodal analysis and synthesis'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Multimodal analysis and synthesis"

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Englmeier, K. H., M. Haubner, U. Fink, and B. Fink. "Image analysis and synthesis of multimodal images in medicine." Computer Methods and Programs in Biomedicine 43, no. 3-4 (June 1994): 193–206. http://dx.doi.org/10.1016/0169-2607(94)90070-1.

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Kuriakose, Bineeth, Raju Shrestha, and Frode Eika Sandnes. "Multimodal Navigation Systems for Users with Visual Impairments—A Review and Analysis." Multimodal Technologies and Interaction 4, no. 4 (October 16, 2020): 73. http://dx.doi.org/10.3390/mti4040073.

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Multimodal interaction refers to situations where users are provided with multiple modes for interacting with systems. Researchers are working on multimodality solutions in several domains. The focus of this paper is within the domain of navigation systems for supporting users with visual impairments. Although several literature reviews have covered this domain, none have gone through the research synthesis of multimodal navigation systems. This paper provides a review and analysis of multimodal navigation solutions aimed at people with visual impairments. This review also puts forward recommendations for effective multimodal navigation systems. Moreover, this review also presents the challenges faced during the design, implementation and use of multimodal navigation systems. We call for more research to better understand the users’ evolving modality preferences during navigation.
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Anderson, Kate T., and Dani Kachorsky. "Assessing students’ multimodal compositions: an analysis of the literature." English Teaching: Practice & Critique 18, no. 3 (October 14, 2019): 312–34. http://dx.doi.org/10.1108/etpc-11-2018-0092.

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Purpose This article presents an analysis of empirical literature on classroom assessment of students’ multimodal compositions to characterize the field and make recommendations for teachers and researchers. Design/methodology/approach An interpretive synthesis of the literature related to practices and possibilities for assessing students’ multimodal compositions. Findings Findings present three overarching types of studies across the body of literature on assessment of student multimodal compositions: reshaping educational practices, promoting multiliteracies approaches to learning and evaluating students’ understanding and competence. These studies’ recommendations range along a continuum of more to less structural changes to “what counts” in classrooms. Research limitations/implications This review only considers studies published in English from 2000to 2019. Future studies could extend these parameters. Practical implications This analysis of the literature on assessing student multimodal compositions highlights foundational differences across studies’ purposes and offers guidance for educations seeking to revise their practices, whether their goals are more theoretical/philosophical, oriented toward reshaping classroom practice or focused on ways of measuring student understanding. Social implications Rethinking assessment can reshape educational practices to be more equitable, more theoretically commensurate with teachers’ beliefs and/or include more thorough and accurate measures of student understanding. Changes to any or all of these facets of educational practices can lead to continued discussion and change regarding the role of multimodal composition in teaching and learning. Originality/value This study fills a gap in the literature by considering what empirical studies suggest about why, how and what to assess with regard to multimodal compositions.
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Cappello, Marva, Angela M. Wiseman, and Jennifer D. Turner. "Framing Equitable Classroom Practices: Potentials of Critical Multimodal Literacy Research." Literacy Research: Theory, Method, and Practice 68, no. 1 (August 22, 2019): 205–25. http://dx.doi.org/10.1177/2381336919870274.

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This article presents an illustrative case study to explore the classroom potentials of critical multimodal literacy. We feature Marcela’s multimodal response to demonstrate how she engaged with visual and textual tools for learning. Illustrative cases are especially useful to explore a particular issue and often involve in-depth analysis of qualitative data that represents theoretical constructs or significant findings. Critical multimodal literacy is a framework that we developed from a synthesis of the research literature to describe the ways that children use tools (e.g., sketches, videos) for personal meaning-making, critique, and agentive learning in classrooms. Findings from the critical analysis of a young Latina fourth-grader’s multimodal production illuminate our framework, which consists of the following four components: communicate and learn with multimodal tools; restory, represent, and redesign; acknowledge and shift power relationships; and leverage multimodal resources to critique and transform sociopolitical realities all seen through an equity lens. We conclude with implications for how this critical multimodal literacy framework can promote equitable classroom practices that expand the literacy learning of all students.
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Buntak, Krešimir, Gabrijela Budimir Šoško, Davor Grgurević, and Ivan Cvitković. "The Necessity of Developing Multimodal Transportation in Croatia as a Factor of Meeting the European Union Transportation Policy Recommendation and a Beneficial Factor for the Development of Croatian Economy." Journal of Maritime & Transportation Science 61, no. 1 (December 2021): 21–34. http://dx.doi.org/10.18048/2021.61.02.

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The paper emphasises the necessity of developing multimodal transportation solutions in Croatia. Croatian transport infrastructure is not at a satisfactory stage of development, and, due to Croatia’s geographical position, the development of multimodal transportation is a beneficial factor for the development of the country’s economy. European Union recommends multimodal solution as less polluting and more energy efficient. Further, it is shown that the modernisation of transportation system in Croatia, by developing a multimodal transportation system, represents a comparative advantage factor for Croatian economy. The methods used are a comprehensive literature research, methods of analysis, synthesis and comparison method, as well as methods of collecting secondary sources of research. The aim of the paper is to point out the importance of developing multimodal transportation as a significant factor for economy development as well as contribution to raising awareness of this problem.
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Bozkurt, Elif, Yücel Yemez, and Engin Erzin. "Multimodal analysis of speech and arm motion for prosody-driven synthesis of beat gestures." Speech Communication 85 (December 2016): 29–42. http://dx.doi.org/10.1016/j.specom.2016.10.004.

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Ratsiburskaya, Larisa V., and Sabina G. Busareva. "The problem of multimodality as a synthesis of verbal and non-verbal means of influence (based on the material of media texts)." Vestnik of Saint Petersburg University. Language and Literature 18, no. 4 (2021): 831–46. http://dx.doi.org/10.21638/spbu09.2021.412.

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Due to the increased importance of the text format, the article considers the problem of multimodality which is acute at the turn of 20th–21st centuries: the specificity of the term and concept of “multimodality”, “multimedia”, and functions of multimodality in modern media texts. A characteristic feature of the modern media text is its multimodal character as an interaction of verbal and non-verbal means. The aim of the study is to identify various types of multimodal neoderivatives and determine their functional specificity. New aspects of media word creation are associated with the multimodal nature of contemporary media texts: monographing — the use of multifunctional elements of one language in graphic hybrids (hyphenation, parenthesis, quotation); capitalization — combination of uppercase and lowercase letters; polygraphing — combination of the elements of various alphabets; codegraphing — combination of different code systems (different fonts, numbers, ideograms, drawings, photos, colors, and emojis). The material of the study includes the texts of printed and electronic media from the beginning of the 21st century, as well as advertising texts. In the course of the study, the methods of structural and semantic analysis as well as content analysis were used. The multimodal media neoderivatives intensify the influential effects of media text. As a result of the research, the most representative types of graphic hybrids and emoji characters implementing expressive-game and manipulative tendencies of modern media, as well as performing structural text functions, are identified in the media texts.
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Ye, Frank B., Akil Hamza, Tejomayee Singh, Stephane Flibotte, Philip Hieter, and Nigel J. O’Neil. "A Multimodal Genotoxic Anticancer Drug Characterized by Pharmacogenetic Analysis in Caenorhabditis elegans." Genetics 215, no. 3 (May 15, 2020): 609–21. http://dx.doi.org/10.1534/genetics.120.303169.

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New anticancer therapeutics require extensive in vivo characterization to identify endogenous and exogenous factors affecting efficacy, to measure toxicity and mutagenicity, and to determine genotypes that result in therapeutic sensitivity or resistance. We used Caenorhabditis elegans as a platform with which to characterize properties of the anticancer therapeutic CX-5461. To understand the processes that respond to CX-5461-induced damage, we generated pharmacogenetic profiles for a panel of C. elegans DNA replication and repair mutants with common DNA-damaging agents for comparison with the profile of CX-5461. We found that multiple repair pathways, including homology-directed repair, microhomology-mediated end joining, nucleotide excision repair, and translesion synthesis, were needed for CX-5461 tolerance. To determine the frequency and spectrum of CX-5461-induced mutations, we used a genetic balancer to capture CX-5461-induced mutations. We found that CX-5461 is mutagenic, resulting in both large copy number variations and a high frequency of single-nucleotide variations (SNVs), which are consistent with the pharmacogenetic profile for CX-5461. Whole-genome sequencing of CX-5461-exposed animals found that CX-5461-induced SNVs exhibited a distinct mutational signature. We also phenocopied the CX-5461 photoreactivity observed in clinical trials and demonstrated that CX-5461 generates reactive oxygen species when exposed to UVA radiation. Together, the data from C. elegans demonstrate that CX-5461 is a multimodal DNA-damaging anticancer agent.
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Saladino, Giovanni M., Nuzhet I. Kilic, Bertha Brodin, Bejan Hamawandi, Idris Yazgan, Hans M. Hertz, and Muhammet S. Toprak. "Carbon Quantum Dots Conjugated Rhodium Nanoparticles as Hybrid Multimodal Contrast Agents." Nanomaterials 11, no. 9 (August 24, 2021): 2165. http://dx.doi.org/10.3390/nano11092165.

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Nanoparticle (NP)-based contrast agents enabling different imaging modalities are sought for non-invasive bio-diagnostics. A hybrid material, combining optical and X-ray fluorescence is presented as a bioimaging contrast agent. Core NPs based on metallic rhodium (Rh) have been demonstrated to be potential X-ray Fluorescence Computed Tomography (XFCT) contrast agents. Microwave-assisted hydrothermal method is used for NP synthesis, yielding large-scale NPs within a significantly short reaction time. Rh NP synthesis is performed by using a custom designed sugar ligand (LODAN), constituting a strong reducing agent in aqueous solution, which yields NPs with primary amines as surface functional groups. The amino groups on Rh NPs are used to directly conjugate excitation-independent nitrogen-doped carbon quantum dots (CQDs), which are synthesized through citrate pyrolysis in ammonia solution. CQDs provided the Rh NPs with optical fluorescence properties and improved their biocompatibility, as demonstrated in vitro by Real-Time Cell Analysis (RTCA) on a macrophage cell line (RAW 264.7). The multimodal characteristics of the hybrid NPs are confirmed with confocal microscopy, and X-ray Fluorescence (XRF) phantom experiments.
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Oleshkova, Anna Mikhailovna. "Internet Meme as the Subject of Social Studies: Opportunities of Event Analysis Application." Общество: социология, психология, педагогика, no. 10 (October 30, 2020): 54–57. http://dx.doi.org/10.24158/spp.2020.10.8.

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The present study considers memes as socio-cultural phenomena which is complex and multi-level. The authors single out research prospects for studying memes with the methods applied in socio-logical research. Even though a variety of disciplines studies memes, sociology analyzes memes from the perspective of social stratification, “us” and “them” dichotomy, allowing researchers to observe memet-ics as both socio-cultural and quasi-political reality. Internet meme is shown as the most dynamic and representative phenomenon in memetics. Social media provide a context for Internet meme that re-flect values of any modern society. The methods applied in meme research presupposes a synthesis of interdisciplinary approaches and separate proce-dures including, firstly, multimodal analysis, content analysis and discursive studies. Event analysis is a subtype of content analysis. In the case of memes interpretation due to this method a researcher can observe the dynamics of social and political events, define social and cultural continuum markers as well as values of modern society.
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Dissertations / Theses on the topic "Multimodal analysis and synthesis"

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Prakosa, Adityo. "Analysis and simulation of multimodal cardiac images to study the heart function." Phd thesis, Université Nice Sophia Antipolis, 2013. http://tel.archives-ouvertes.fr/tel-00837857.

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This thesis focuses on the analysis of the cardiac electrical and kinematic function for heart failure patients. An expected outcome is a set of computational tools that may help a clinician in understanding, diagnosing and treating patients suffering from cardiac motion asynchrony, a specific aspect of heart failure. Understanding the inverse electro-kinematic coupling relationship is the main task of this study. With this knowledge, the widely available cardiac image sequences acquired non-invasively at clinics could be used to estimate the cardiac electrophysiology (EP) without having to perform the invasive cardiac EP mapping procedures. To this end, we use real clinical cardiac sequence and a cardiac electromechanical model to create controlled synthetic sequence so as to produce a training set in an attempt to learn the cardiac electro-kinematic relationship. Creating patient-specific database of synthetic sequences allows us to study this relationship using a machine learning approach. A first contribution of this work is a non-linear registration method applied and evaluated on cardiac sequences to estimate the cardiac motion. Second, a new approach in the generation of the synthetic but virtually realistic cardiac sequence which combines a biophysical model and clinical images is developed. Finally, we present the cardiac electrophysiological activation time estimation from medical images using a patient-specific database of synthetic image sequences.
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Baum, Karl G. "Multimodal breast imaging : registration, visualization, and image synthesis /." Online version of thesis, 2008. http://hdl.handle.net/1850/7063.

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Beskow, Jonas. "Talking Heads - Models and Applications for Multimodal Speech Synthesis." Doctoral thesis, KTH, Tal, musik och hörsel, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3561.

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This thesis presents work in the area of computer-animatedtalking heads. A system for multimodal speech synthesis hasbeen developed, capable of generating audiovisual speechanimations from arbitrary text, using parametrically controlled3D models of the face and head. A speech-specific directparameterisation of the movement of the visible articulators(lips, tongue and jaw) is suggested, along with a flexiblescheme for parameterising facial surface deformations based onwell-defined articulatory targets. To improve the realism and validity of facial and intra-oralspeech movements, measurements from real speakers have beenincorporated from several types of static and dynamic datasources. These include ultrasound measurements of tonguesurface shape, dynamic optical motion tracking of face pointsin 3D, as well as electromagnetic articulography (EMA)providing dynamic tongue movement data in 2D. Ultrasound dataare used to estimate target configurations for a complex tonguemodel for a number of sustained articulations. Simultaneousoptical and electromagnetic measurements are performed and thedata are used to resynthesise facial and intra-oralarticulation in the model. A robust resynthesis procedure,capable of animating facial geometries that differ in shapefrom the measured subject, is described. To drive articulation from symbolic (phonetic) input, forexample in the context of a text-to-speech system, bothrule-based and data-driven articulatory control models havebeen developed. The rule-based model effectively handlesforward and backward coarticulation by targetunder-specification, while the data-driven model uses ANNs toestimate articulatory parameter trajectories, trained ontrajectories resynthesised from optical measurements. Thearticulatory control models are evaluated and compared againstother data-driven models trained on the same data. Experimentswith ANNs for driving the articulation of a talking headdirectly from acoustic speech input are also reported. A flexible strategy for generation of non-verbal facialgestures is presented. It is based on a gesture libraryorganised by communicative function, where each function hasmultiple alternative realisations. The gestures can be used tosignal e.g. turn-taking, back-channelling and prominence whenthe talking head is employed as output channel in a spokendialogue system. A device independent XML-based formalism fornon-verbal and verbal output in multimodal dialogue systems isproposed, and it is described how the output specification isinterpreted in the context of a talking head and converted intofacial animation using the gesture library. Through a series of audiovisual perceptual experiments withnoise-degraded audio, it is demonstrated that the animatedtalking head provides significantly increased intelligibilityover the audio-only case, in some cases not significantly belowthat provided by a natural face. Finally, several projects and applications are presented,where the described talking head technology has beensuccessfully employed. Four different multimodal spokendialogue systems are outlined, and the role of the talkingheads in each of the systems is discussed. A telecommunicationapplication where the talking head functions as an aid forhearing-impaired users is also described, as well as a speechtraining application where talking heads and languagetechnology are used with the purpose of improving speechproduction in profoundly deaf children.
QC 20100506
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Almayyan, Waheeda. "Performance analysis of multimodal biometric fusion." Thesis, De Montfort University, 2012. http://hdl.handle.net/2086/5998.

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Biometrics is constantly evolving technology which has been widely used in many official and commercial identification applications. In fact in recent years biometric-based authentication techniques received more attention due to increased concerns in security. Most biometric systems that are currently in use typically employ a single biometric trait. Such systems are called unibiometric systems. Despite considerable advances in recent years, there are still challenges in authentication based on a single biometric trait, such as noisy data, restricted degree of freedom, intra-class variability, non-universality, spoof attack and unacceptable error rates. Some of the challenges can be handled by designing a multimodal biometric system. Multimodal biometric systems are those which utilize or are capable of utilizing, more than one physiological or behavioural characteristic for enrolment, verification, or identification. In this thesis, we propose a novel fusion approach at a hybrid level between iris and online signature traits. Online signature and iris authentication techniques have been employed in a range of biometric applications. Besides improving the accuracy, the fusion of both of the biometrics has several advantages such as increasing population coverage, deterring spoofing activities and reducing enrolment failure. In this doctoral dissertation, we make a first attempt to combine online signature and iris biometrics. We principally explore the fusion of iris and online signature biometrics and their potential application as biometric identifiers. To address this issue, investigations is carried out into the relative performance of several statistical data fusion techniques for integrating the information in both unimodal and multimodal biometrics. We compare the results of the multimodal approach with the results of the individual online signature and iris authentication approaches. This dissertation describes research into the feature and decision fusion levels in multimodal biometrics.
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Sun, Felix (Felix W. ). "Speech Representation Models for Speech Synthesis and Multimodal Speech Recognition." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106378.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
This 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 59-63).
The field of speech recognition has seen steady advances over the last two decades, leading to the accurate, real-time recognition systems available on mobile phones today. In this thesis, I apply speech modeling techniques developed for recognition to two other speech problems: speech synthesis and multimodal speech recognition with images. In both problems, there is a need to learn a relationship between speech sounds and another source of information. For speech synthesis, I show that using a neural network acoustic model results in a synthesizer that is more tolerant of noisy training data than previous work. For multimodal recognition, I show how information from images can be effectively integrated into the recognition search framework, resulting in improved accuracy when image data is available.
by Felix Sun.
M. Eng.
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Specker, Elizabeth. "L1/L2 Eye Movement Reading of Closed Captioning: A Multimodal Analysis of Multimodal Use." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/194820.

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Learning in a multimodal environment entails the presentation of information in a combination of more than one mode (i.e. written words, illustrations, and sound). Past research regarding the benefits of multimodal presentation of information includes both school age children and adult learners (e.g. Koolstra, van der Voort & d'Ydewalle, 1999; Neumen & Koskinen, 1992), as well as both native and non-native language learners (e.g. d'Ydewalle & Gielen, 1992; Kothari et al, 2002). This dissertation focuses how the combination of various modalities are used by learners of differing proficiencies in English to gain better comprehension (cf. Mayer, 1997, 2005; Graber, 1990; Slykhuis et al, 2005). The addition of the written mode (closed captioning) to the already multimodal environment that exists in film and video presentations is analyzed. A Multimodal Multimedia Communicative Event is used to situate the language learner. Research questions focus on the eye movements of the participants as they read moving text both with and without the audio and video modes of information. Small case studies also give a context to four participants by bringing their individual backgrounds and observations to bear on the use of multimodal texts as language learning tools in a second or foreign language learning environment. It was found that Non Native English Speakers (NNS) (L1 Arabic) show longer eye movement patterns in reading dynamic text (closed captioning), echoing past research with static texts while Native Speakers of English (NS) tend to have quicker eye movements. In a multimodal environment the two groups also differed: NNS looked longer at the closed captioning and NS were able to navigate the text presentation quickly. While associative activation (Paivio, 2007) between the audio and print modalities was not found to alter the eye movement patterns of the NNS, participants did alternate between the modalities in search of supplementary information. Other research using additional closed captioning and subtitling have shown that viewing a video program with written text added turns the activity into a reading activity (Jensema, 2000; d'Ydewalle, 1987). The current study found this to be the case, but the results differed in regard to proficiency and strategy.
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Marcollo, Hayden 1972. "Multimodal vortex-induced vibration." Monash University, Dept. of Mechanical Engineering, 2002. http://arrow.monash.edu.au/hdl/1959.1/7674.

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Zhang, Weiwei. "Multimodal Cardiovascular Image Analysis Using Phase Information." Thesis, University of Oxford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491680.

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Cardiovascular heart disease (CVD) is one of the world's leading causes of death. Among the existing imaging techniques, cardiovascular magnetic imaging (CMR) and real-time three-dimensional echocardiography (RT3DUS) are receiving a lot of attention at the current time. Due to the 3D nature of the heart and its complex motion in 3D space, the RT3DUS is well-suited for 3D analysis of the cardiac disease. However, RT3DUS has lower specificity and sensitivity than the high spatial resolution CMR, which makes it difficult to interpret. This motivates research on assisting a clinician to automatically fuse the information from multiple imaging modalities for the early diagnosis and therapy of cardiac disease. This thesis establishes a framework for multimodal cardiovascular image analysis. First, we develop a (static) nonrigid registration of a RT3DUS volume slice and a CMR image. The local phase presentation of both images is utilized as an image descriptor of the 'featureness'. The local deformation of ventricles is modeled by a polyaffine transformation. The anchor points (or control points) used in the polyaffine transformation are automatically detected and refined by calculating a local misalignment measure based on phase mutual information. The registration process is built in an adaptive multi-scale framework to maximize the phase-based similarity measure by optimizing the parameters of the polyaffine transformation. Next, we explore a spatia-temporal alignment of RT3DUS and CMR sequences. The deformation field between both sequences is decoupled into spatial and temporal components. Temporal alignment is performed by re-slicing both sequences to contain the same number of frames and to make them correspond to the same temporal position using a differential registration. Spatial alignment is then carried out by extending the static nonrigid registration in a frame-by-frame manner. Landmarkbased validation shows that this new registration algorithm gives an accurate result. Finally, we proposed a registration-guided segmentation of the left ventricle in RT3DUS datasets. The image phase gradient is used as the edged indicator function. Incorporating local phase into the variational level set method without re-initialization enables a flexible initialization. This allows the co-registration of multimodal cardiovascular sequences to provide a strong prior knowledge about the shape of the left ventricle. We develop a registration-guided segmentation algorithm that efficiently converges to the object boundary of interest.
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Svitlichna. "ANALYSIS OF MULTIMODAL SERVICE MARKET IN UKRAINE." Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33914.

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Jancsary, Dennis, Markus Höllerer, and Renate Meyer. "Critical analysis of visual and multimodal texts." SAGE, 2016. http://epub.wu.ac.at/6126/1/Dennis_etal_2016_SAGE%2Dcritical%2Danalysis.pdf.

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Books on the topic "Multimodal analysis and synthesis"

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Poria, Soujanya, Amir Hussain, and Erik Cambria. Multimodal Sentiment Analysis. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95020-4.

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David, Machin. Introduction to multimodal analysis. London: Hodder Arnold, 2007.

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Young, Rhonda. Multimodal investment choice analysis. [Olympia, Wash.]: Washington State Dept. of Transportation, 2002.

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Yap, Pew-Thian, Tianming Liu, Dinggang Shen, Carl-Fredrik Westin, and Li Shen, eds. Multimodal Brain Image Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33530-3.

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Liu, Tianming, Dinggang Shen, Luis Ibanez, and Xiaodong Tao, eds. Multimodal Brain Image Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24446-9.

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Shen, Li, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, and Carl-Fredrik Westin, eds. Multimodal Brain Image Analysis. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02126-3.

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Karl-Heinrich, Schmidt, ed. Multimodal film analysis: How films mean. New York: Routledge, 2012.

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Systematics, Cambridge. Multimodal corridor and capacity analysis manual. Washington, D.C: National Academy Press, 1998.

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L, O'Halloran Kay, ed. Multimodal discourse analysis: Systemic-functional perspectives. London: Continuum, 2004.

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1959-, LeVine Philip, and Scollon Ronald 1939-, eds. Discourse and technology: Multimodal discourse analysis. Washington, D.C: Georgetown University Press, 2004.

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Book chapters on the topic "Multimodal analysis and synthesis"

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Sevillano, Xavier, Javier Melenchón, Germán Cobo, Joan Claudi Socoró, and Francesc Alías. "Audiovisual Analysis and Synthesis for Multimodal Human-Computer Interfaces." In Engineering the User Interface, 1–16. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-136-7_13.

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Xiang, Lei, Yang Li, Weili Lin, Qian Wang, and Dinggang Shen. "Unpaired Deep Cross-Modality Synthesis with Fast Training." In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 155–64. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00889-5_18.

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Xiang, Lei, Yang Li, Weili Lin, Qian Wang, and Dinggang Shen. "Correction to: Unpaired Deep Cross-Modality Synthesis with Fast Training." In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, C1. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-00889-5_44.

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Yang, Heran, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, and Jerry Prince. "Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN." In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 174–82. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00889-5_20.

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Beskow, Jonas, Björn Granström, and David House. "Analysis and Synthesis of Multimodal Verbal and Non-verbal Interaction for Animated Interface Agents." In Verbal and Nonverbal Communication Behaviours, 250–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76442-7_22.

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Schweitzer, Antje, Norbert Braunschweiler, Grzegorz Dogil, Tanja Klankert, Bernd Möbius, Gregor Möhler, Edmilson Morais, Bettina Säuberlich, and Matthias Thomae. "Multimodal Speech Synthesis." In SmartKom: Foundations of Multimodal Dialogue Systems, 411–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-36678-4_27.

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Pirini, Jesse, Tui Matelau-Doherty, and Sigrid Norris. "Multimodal Analysis." In The Palgrave Handbook of Applied Linguistics Research Methodology, 639–58. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-59900-1_28.

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Shi, Dan. "Multimodal interaction analysis." In Multimodality and Classroom Languaging Dynamics, 27–48. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003183457-3.

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Francesconi, Sabrina. "Multimodal Stylistic Analysis." In A Multimodal Stylistic Approach to Screen Adaptations of the Work of Alice Munro, 32–50. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003183846-3.

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Hart, Christopher. "Multimodal discourse analysis." In Researching Discourse, 143–79. London ; New York : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780367815042-9.

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Conference papers on the topic "Multimodal analysis and synthesis"

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Jayagopi, Dinesh Babu. "Multimodal Analysis and Synthesis for Conversational Research." In ICMI '21: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3461615.3486794.

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Ndjiki-Nya, P., D. Doshkov, and M. Koppel. "Optimization of video synthesis by means of cost-guided multimodal photometric correction." In 2009 6th International Symposium on Image and Signal Processing and Analysis. IEEE, 2009. http://dx.doi.org/10.1109/ispa.2009.5297773.

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Xiao, Renbin, Yong Liu, and Gang Dou. "Path Generation of Mechanism Based on Multimodal Optimization Using an Evolutionary Approach." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57657.

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This paper presents an optimization method for path generation of planar mechanisms by using artificial immune network based multimodal optimization algorithm. Firstly, the multimodal character of optimal synthesis methods for mechanism path generation is analyzed. Secondly, based on brief introduction of the artificial immune network theory and the AINET based multimodal optimization algorithm Opt-aiNet, the Opt-aiNet algorithm is improved in stopping criterion and parameter selection, which is ground on detailed analysis of the influence of parameters on the performance of algorithm. Then the improved Opt-aiNet algorithm is introduced to solve multimodal model of mechanism path generation. Finally, based upon the case study, the advantages of the improved Opt-aiNet algorithm in solving mechanism path generation problm are discussed and some concluding remarks are drawn.
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Zhang, Yu, and Yuan Jiang. "Multimodal Linear Discriminant Analysis via Structural Sparsity." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/482.

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Linear discriminant analysis (LDA) is a widely used supervised dimensionality reduction technique. Even though the LDA method has many real-world applications, it has some limitations such as the single-modal problem that each class follows a normal distribution. To solve this problem, we propose a method called multimodal linear discriminant analysis (MLDA). By generalizing the between-class and within-class scatter matrices, the MLDA model can allow each data point to have its own class mean which is called the instance-specific class mean. Then in each class, data points which share the same or similar instance-specific class means are considered to form one cluster or modal. In order to learn the instance-specific class means, we use the ratio of the proposed generalized between-class scatter measure over the proposed generalized within-class scatter measure, which encourages the class separability, as a criterion. The observation that each class will have a limited number of clusters inspires us to use a structural sparse regularizor to control the number of unique instance-specific class means in each class. Experiments on both synthetic and real-world datasets demonstrate the effectiveness of the proposed MLDA method.
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Li, Chunyan, Allen Gersho, and Vladimir Cuperman. "Analysis-by-synthesis low-rate multimode harmonic speech coding." In 6th European Conference on Speech Communication and Technology (Eurospeech 1999). ISCA: ISCA, 1999. http://dx.doi.org/10.21437/eurospeech.1999-329.

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Gashturi, Anton P., Dmitry I. Sobolev, and Gregory G. Denisov. "Synthesis of multimode waveguide converters using full-wave EFIE field analysis method." In 2013 38th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz 2013). IEEE, 2013. http://dx.doi.org/10.1109/irmmw-thz.2013.6665489.

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Rix, Tom, Marco Hübner, Kris K. Dreher, Jan-Hinrich Nölke, Leonardo Ayala, Melanie Schellenberg, Jan Sellner, et al. "Deep learning for spectral image synthesis." In Multimodal Biomedical Imaging XVII, edited by Fred S. Azar, Xavier Intes, and Qianqian Fang. SPIE, 2022. http://dx.doi.org/10.1117/12.2608622.

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Hussen Abdelaziz, Ahmed, Anushree Prasanna Kumar, Chloe Seivwright, Gabriele Fanelli, Justin Binder, Yannis Stylianou, and Sachin Kajareker. "Audiovisual Speech Synthesis using Tacotron2." In ICMI '21: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3462244.3479883.

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Wang, Siyang, Simon Alexanderson, Joakim Gustafson, Jonas Beskow, Gustav Eje Henter, and Éva Székely. "Integrated Speech and Gesture Synthesis." In ICMI '21: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3462244.3479914.

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Ye, Xi, Qiaochu Chen, Isil Dillig, and Greg Durrett. "Benchmarking Multimodal Regex Synthesis with Complex Structures." In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.acl-main.541.

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Reports on the topic "Multimodal analysis and synthesis"

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Gelperin, Alan, Boris Shraiman, and Daniel D. Lee. Multimodal Olfactory Scence Analysis. Fort Belvoir, VA: Defense Technical Information Center, July 2006. http://dx.doi.org/10.21236/ada455446.

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Selph, Shelly S., Andrea C. Skelly, Ngoc Wasson, Joseph R. Dettori, Erika D. Brodt, Erik Ensrud, Diane Elliot, et al. Physical Activity and the Health of Wheelchair Users: A Systematic Review in Multiple Sclerosis, Cerebral Palsy, and Spinal Cord Injury. Agency for Healthcare Research and Quality (AHRQ), October 2021. http://dx.doi.org/10.23970/ahrqepccer241.

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Objectives. Although the health benefits of physical activity are well described for the general population, less is known about the benefits and harms of physical activity in people dependent upon, partially dependent upon, or at risk for needing a wheelchair. This systematic review summarizes the evidence for physical activity in people with multiple sclerosis, cerebral palsy, and spinal cord injury regardless of current use or nonuse of a wheelchair. Data sources. We searched MEDLINE®, CINAHL®, PsycINFO®, Cochrane CENTRAL, Embase®, and Rehabilitation and Sports Medicine Source from 2008 through November 2020, reference lists, and clinical trial registries. Review methods. Predefined criteria were used to select randomized controlled trials, quasiexperimental nonrandomized trials, and cohort studies that addressed the benefits and harms of observed physical activity (at least 10 sessions on 10 different days of movement using more energy than rest) in participants with multiple sclerosis, cerebral palsy, and spinal cord injury. Individual study quality (risk of bias) and the strength of bodies of evidence for key outcomes were assessed using prespecified methods. Dual review procedures were used. Effects were analyzed by etiology of impairment and physical activity modality, such as treadmill, aquatic exercises, and yoga, using qualitative, and when appropriate, quantitative synthesis using random effects meta-analyses. Results. We included 146 randomized controlled trials, 15 quasiexperimental nonrandomized trials, and 7 cohort studies (168 studies in 197 publications). More studies enrolled participants with multiple sclerosis (44%) than other conditions, followed by cerebral palsy (38%) and spinal cord injury (18%). Most studies were rated fair quality (moderate risk of bias). The majority of the evidence was rated low strength. • In participants with multiple sclerosis, walking ability may be improved with treadmill training and multimodal exercise regimens that include strength training; function may be improved with treadmill training, balance exercises, and motion gaming; balance is likely improved with postural control exercises (which may also reduce risk of falls) and may be improved with aquatic exercises, robot-assisted gait training, treadmill training, motion gaming, and multimodal exercises; activities of daily living may be improved with aquatic therapy; sleep may be improved with aerobic exercises; aerobic fitness may be improved with multimodal exercises; and female sexual function may be improved with aquatic exercise. • In participants with cerebral palsy, balance may be improved with hippotherapy and motion gaming, and function may be improved with cycling, treadmill training, and hippotherapy. • In participants with spinal cord injury, evidence suggested that activities of daily living may be improved with robot-assisted gait training. • When randomized controlled trials were pooled across types of exercise, physical activity interventions were found to improve walking in multiple sclerosis and likely improve balance and depression in multiple sclerosis. Physical activity may improve function and aerobic fitness in people with cerebral palsy or spinal cord injury. When studies of populations with multiple sclerosis and cerebral palsy were combined, evidence indicated dance may improve function. • Evidence on long-term health outcomes was not found for any analysis groups. For intermediate outcomes such as blood pressure, lipid profile, and blood glucose, there was insufficient evidence from which to draw conclusions. There was inadequate reporting of adverse events in many trials. Conclusions. Physical activity was associated with improvements in walking ability, general function, balance (including fall risk), depression, sleep, activities of daily living, female sexual function, and aerobic capacity, depending on population enrolled and type of exercise utilized. No studies reported long-term cardiovascular or metabolic disease health outcomes. Future trials could alter these findings; further research is needed to examine health outcomes, and to understand the magnitude and clinical importance of benefits seen in intermediate outcomes.
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Boero, Riccardo, Peter Thomas Hraber, Kimberly Ann Kaufeld, Elisabeth Ann Moore, Ethan Romero-Severson, John Joseph Ambrosiano, John Leslie Whitton, and Benjamin Hayden Sims. Analysis of Multimodal Wearable Sensor Data to Characterize Social Groups and Influence in Organizations. Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1570596.

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Wagner, Kelvin H., Michael B. Sinclair, and Daniel Feldkuhn. Fourier analysis and synthesis tomography. Office of Scientific and Technical Information (OSTI), May 2010. http://dx.doi.org/10.2172/992332.

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Hegarty, Mary. Analysis and Synthesis of Hypermedia Visualizations. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada413809.

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Byrne, John H. Analysis and Synthesis of Adaptive Neural Elements. Fort Belvoir, VA: Defense Technical Information Center, September 1987. http://dx.doi.org/10.21236/ada187047.

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Fenves, Steven J., May T. Slava, and James P. Barnett. SASE - Standards Analysis, Synthesis, and Expression program :. Gaithersburg, MD: National Bureau of Standards, 1987. http://dx.doi.org/10.6028/nbs.ir.87-3514.

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Ravichandran, A., and K. Kant. Analysis and Synthesis of Robust Data Structures. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada224568.

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Luqi. Research Directions in Software Analysis, Synthesis and Certification. Fort Belvoir, VA: Defense Technical Information Center, December 1992. http://dx.doi.org/10.21236/ada261367.

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Shanmugan, K. S., Victor S. Frost, G. J. Minden, and E. Komp. A Packet Communication Network Synthesis and Analysis System. Fort Belvoir, VA: Defense Technical Information Center, August 1986. http://dx.doi.org/10.21236/ada174316.

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