1,721,092 research outputs found

    Enhancing Accessibility Through Automatic Speech Recognition

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    Automatic speech recognition can enhance accessibility through the cost-effective production of text synchronised with speech. This can assist those who require captioning or find notetaking difficult, help manage and search online digital multimedia resources and assist blind, visually impaired or dyslexic people by augmenting synthetic speech with natural recorded real speech

    A Research Agenda for Transforming Pedagogy and Enhancing Inclusive Learning through Synchronised Multimedia Captioned Using Speech Recognition

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    Many exciting opportunities for learning occur in environments where communication occurs spontaneously in real-time through speech, gestures, writing, drawing or actions. Some students can find it difficult to learn and take notes in these situations and this can be especially problematic for disabled students and non-native speakers. This paper will discuss an agenda for researching how multimedia captioned using speech recognition can make learning more interactive, inclusive, personalised, flexible and productive for students at any stage or phase of learning through the synchronised text supporting sensory and memory demands of spoken language and enabling the audio visual material to be manipulated by searching and annotating

    Captioning for Deaf and Hard of Hearing People by Editing Automatic Speech Recognition in Real Time

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    Deaf and hard of hearing people can find it difficult to follow speech through hearing alone or to take notes when lip-reading or watching a sign-language interpreter. Notetakers summarise what is being said while qualified sign language interpreters with a good understanding of the relevant higher education subject content are in very scarce supply. Real time captioning/transcription is not normally available in UK higher education because of the shortage of real time stenographers. Lectures can be digitally recorded and replayed to provide multimedia revision material for students who attended the class and a substitute learning experience for students unable to attend. Automatic Speech Recognition can provide real time captioning directly from lecturers’ speech in classrooms but it is difficult to obtain accuracy comparable to stenography. This paper describes the development of a system that enables editors to correct errors in the captions as they are created by Automatic Speech Recognition

    Learning Through Multimedia: Automatic Speech Recognition Enabling Accessibility and Interaction

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    Lectures can present barriers to learning for many students and although online multimedia materials have become technically easier to create and offer many benefits for learning and teaching, they also can be difficult to access, manage, and exploit. This presentation will explain and demonstrate how automatic speech recognition can enhance the quality of learning and teaching and help ensure that both face to face learning and e-learning is accessible to all through the cost-effective production of synchronised and captioned multimedia. This approach can: support preferred learning and teaching styles and assist those who, for cognitive, physical or sensory reasons, find notetaking difficult; assist learners to manage and search online digital multimedia resources; provide automatic captioning of speech for deaf learners, or for any learner when speech is not available or suitable; assist blind, visually impaired or dyslexic learners to read and search learning material more readily by augmenting synthetic speech with natural recorded real speech; and assist reflection by teachers and learners to improve their spoken communication skills

    Creating Accessible Educational Multimedia through Editing Automatic Speech Recognition Captioning in Real Time

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    Lectures can be digitally recorded and replayed to provide multimedia revision material for students who attended the class and a substitute learning experience for students unable to attend. Deaf and hard of hearing people can find it difficult to follow speech through hearing alone or to take notes while they are lip-reading or watching a sign-language interpreter. Notetakers can only summarise what is being said while qualified sign language interpreters with a good understanding of the relevant higher education subject content are in very scarce supply. Synchronising the speech with text captions can ensure deaf students are not disadvantaged and assist all learners to search for relevant specific parts of the multimedia recording by means of the synchronised text. Real time stenography transcription is not normally available in UK higher education because of the shortage of stenographers wishing to work in universities. Captions are time consuming and expensive to create by hand and while Automatic Speech Recognition can be used to provide real time captioning directly from lecturers’ speech in classrooms it has proved difficult to obtain accuracy comparable to stenography. This paper describes the development of a system that enables editors to correct errors in the captions as they are created by Automatic Speech Recognition

    Developing and evaluating a technology enhanced interaction framework and method that can enhance the accessibility of mobile learning

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    This paper focuses on the development and evaluation of a Technology Enhanced Interaction Framework and Method that can help with designing accessible mobile learning interactions involving disabled people. This new framework and method were developed to help design technological support for communication and interactions between people, technology, and objects particularly when disabled people are involved. A review of existing interaction frameworks showed that none of them helped technology designers to consider all of the possible interactions that occur at the same time and in the same place (i.e. face to face situations). Since almost all learners and teachers now have access to mobile technologies the new framework and method provide great potential for learning through interactions in these face to face situations. The components of the framework are described and explained, and examples of interactions are provided. The Technology Enhanced Interaction Framework has been developed and validated using technology designers and accessibility experts. To help designers apply the framework, the method has been developed and validated using technology designers and accessibility experts, and was successfully evaluated with technology designers

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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