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Understanding the Cognitive Heterogeneity Associated with Autistic Traits: the Influence of Transdiagnostic Factors and Context ...
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THE SIZE BIAS: DOES IT EXIST, AND HOW WOULD WE EXAMINE IT IN THE BRAIN ...
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Meta-Analysis Data from 'A Role for Visual Memory in Vocabulary Development: A Systematic Review and Meta-Analysis' ...
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Εφαρμογές βαθιάς μάθησης ... : Applications of deep learning ...
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Αναγνώριση νοηματικής γλώσσας με τεχνικές βαθιάς μηχανικής μάθησης ... : Deep learning based sign language recognition ...
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The Phonological Latching Network
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In: BIOLINGUISTICS; Vol. 14 (2020): Special Issue—Biolinguistic Research in the 21st Century; 102-129 ; 1450-3417 (2021)
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Discriminative feature modeling for statistical speech recognition ...
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Towards Learning Terminological Concept Systems from Multilingual Natural Language Text ...
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How the input shapes the acquisition of verb morphology: elicited production and computational modelling in two highly inflected languages ...
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Which Theory of Language for Deep Neural Networks? Speech and Cognition in Humans and Machines ...
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Capone, Luca. - : Technology and Language, 2(4), 29-60, 2021
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Data-Driven Analysis of Zebra Finch Song Copying and Learning
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Sentiment Analysis of Amazon Electronic Product Reviews using Deep Learning
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Phonetic processing in speech sound disorder (Gerwin et al., 2021) ...
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Machine Learning Methods for Automatic Silent Speech Recognition Using a Wearable Graphene Strain Gauge Sensor. ...
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Abstract:
Silent speech recognition is the ability to recognise intended speech without audio information. Useful applications can be found in situations where sound waves are not produced or cannot be heard. Examples include speakers with physical voice impairments or environments in which audio transference is not reliable or secure. Developing a device which can detect non-auditory signals and map them to intended phonation could be used to develop a device to assist in such situations. In this work, we propose a graphene-based strain gauge sensor which can be worn on the throat and detect small muscle movements and vibrations. Machine learning algorithms then decode the non-audio signals and create a prediction on intended speech. The proposed strain gauge sensor is highly wearable, utilising graphene's unique and beneficial properties including strength, flexibility and high conductivity. A highly flexible and wearable sensor able to pick up small throat movements is fabricated by screen printing graphene onto ... : EP/S023046/1 ...
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Keyword:
Artificial neural networks; Graphene; Graphite; Machine Learning; Silent Speech Recognition; Speech Perception; Strain Gauge; Voice; Wearable Electronic Devices
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URL: https://www.repository.cam.ac.uk/handle/1810/333896 https://dx.doi.org/10.17863/cam.81312
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Phonetic processing in speech sound disorder (Gerwin et al., 2021) ...
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Automated Paraphrase Quality Assessment Using Language Models and Transfer Learning
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In: Computers; Volume 10; Issue 12; Pages: 166 (2021)
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Extracting Semantic Relationships in Greek Literary Texts
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In: Sustainability ; Volume 13 ; Issue 16 (2021)
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