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Midiendo "distancia sintáctica" de variedades lingüísticas en zonas bilingües a partir de los datos masivos
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42 |
Combining speech-based and linguistic classifiers to recognize emotion in user spoken utterances
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43 |
Practical Natural Language Generation from Knowledge Graphs
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In: Embargoed Honors Theses, University of Nebraska-Lincoln (2019)
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Usability of Automatic Speech Recognition Systems for Individuals with Speech Disorders: Past, Present, Future, and A Proposed Model
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Abstract:
People are using voice assistants (VAs) such as Siri & Alexa more than ever before. With 46% of U.S. adults using VAs, commercially available voice-activated technologies are becoming pervasive in our homes and beyond (Pew Research, 2017). VAs provide convenience, novelty, and unique solutions for the medical industry. But, some users may be left out of the conversation. People with speech disorders or atypical speech historically have found difficulty with using automatic speech recognition (ASR) technologies, the precursor to VAs. Usability testing for these systems has consistently shown that they are not easy to use for people with speech disorders. This investigation sought to perform a literature review of the existing research on the usability of commercially available ASRs for people with speech disorders to provide historical perspectives and to take an inventory of how this issue is being addressed today. A literature review was performed on the usability of commercially available ASRs for people with speech disorders and was divided into two stages: studies before the introduction of VAs and those that tested VAs themselves. Understanding where we have been and where we are now will also inform technical communication and usability professionals on what the future of ASRs may hold and how we can best address the needs of this audience. To do so, this paper proposes solutions for inclusive design in the voice assistant design space including a conceptual model for integrating specific techniques into commercially available VAs.
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Keyword:
automatic speech recognition; dysarthria; human factors; human-computer interaction; inclusive design; speech disorders; usability; user experience; voice assistant; voice interfaces
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URL: http://hdl.handle.net/11299/202757
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Generative Grammar and the Faculty of Language: Insights, Questions, and Challenges
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In: Catalan Journal of Linguistics (2019) (2019)
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De-syntacticising Syntax? Concerns on the Architecture of Grammar and the Role of Interface Components
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In: Catalan Journal of Linguistics (2019) (2019)
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Using recent BCI literature to deepen our understanding of clinical neurofeedback: A short review
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In: ISSN: 0306-4522 ; EISSN: 1873-7544 ; Neuroscience ; https://hal.inria.fr/hal-01728767 ; Neuroscience, Elsevier - International Brain Research Organization, 2018, 378, pp.225-233. ⟨10.1016/j.neuroscience.2018.03.013⟩ (2018)
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Le Méta-Instrument : genèse et évolution d’un nouvel instrument
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In: ISSN: 1264-7020 ; Musique, images, instruments ; https://hal.archives-ouvertes.fr/hal-01968853 ; Musique, images, instruments, Paris: Ed. Klincksieck; Paris: Laboratoire d'organologie et d'iconographie musicale CNRS, 2018, Instruments électriques, électroniques et virtuels, 17, pp.230-245 ; http://www.cnrseditions.fr/musicologie/7716-musique-images-instruments-17.html (2018)
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New Directions in Treatments Targeting Stroke Recovery.
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In: Stroke, vol 49, iss 12 (2018)
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51 |
The affordances of process-tracing technologies for supporting L2 writing instruction
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In: English Publications (2018)
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Augmented Reality in Foreign Language Education: A Review of Empirical Studies (增强现实技术在外语教学中的应用:文献综述性研究)
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In: World Languages and Cultures Publications (2018)
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EXPLORING THE ACCESSIBILITY OF HOME-BASED, VOICE-CONTROLLED INTELLIGENT PERSONAL ASSISTANTS ...
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Pradhan, Alisha. - : Digital Repository at the University of Maryland, 2018
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Word Towers: Assessing Domain Knowledge with Non-Traditional Genres
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In: Ashish Amresh (2018)
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Developing a Bilingual, Computer-Tailored, HPV Vaccination Promotion Intervention Targeting Latino Parents
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In: Ashish Amresh (2018)
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Semantic Fusion for Natural Multimodal Interfaces using Concurrent Augmented Transition Networks
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In: Multimodal Technologies and Interaction ; Volume 2 ; Issue 4 (2018)
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Effect of Sensory Feedback on Turn-Taking Using Paired Devices for Children with ASD
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In: Multimodal Technologies and Interaction ; Volume 2 ; Issue 4 (2018)
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Pervasive Displays: Content Management, Adaptation, Distribution, and Interaction Methods
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Programming in Natural Language: Building Algorithms from Human Descriptions
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A noisy-channel based model to recognize words in eye typing systems ; Um modelo baseado em canal de ruído para reconhecer palavras digitadas com os olhos
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Hanada, Raíza Tamae Sarkis. - : Biblioteca Digital de Teses e Dissertações da USP, 2018. : Universidade de São Paulo, 2018. : Instituto de Ciências Matemáticas e de Computação, 2018
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