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Ultrasonic Doppler Based Silent Speech Interface Using Perceptual Distance
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In: Applied Sciences; Volume 12; Issue 2; Pages: 827 (2022)
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| 2 |
Exploring Silent Speech Interfaces Based on Frequency-Modulated Continuous-Wave Radar
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In: Sensors; Volume 22; Issue 2; Pages: 649 (2022)
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Abstract:
Speech is our most natural and efficient form of communication and offers a strong potential to improve how we interact with machines. However, speech communication can sometimes be limited by environmental (e.g., ambient noise), contextual (e.g., need for privacy), or health conditions (e.g., laryngectomy), preventing the consideration of audible speech. In this regard, silent speech interfaces (SSI) have been proposed as an alternative, considering technologies that do not require the production of acoustic signals (e.g., electromyography and video). Unfortunately, despite their plentitude, many still face limitations regarding their everyday use, e.g., being intrusive, non-portable, or raising technical (e.g., lighting conditions for video) or privacy concerns. In line with this necessity, this article explores the consideration of contactless continuous-wave radar to assess its potential for SSI development. A corpus of 13 European Portuguese words was acquired for four speakers and three of them enrolled in a second acquisition session, three months later. Regarding the speaker-dependent models, trained and tested with data from each speaker while using 5-fold cross-validation, average accuracies of 84.50% and 88.00% were respectively obtained from Bagging (BAG) and Linear Regression (LR) classifiers, respectively. Additionally, recognition accuracies of 81.79% and 81.80% were also, respectively, achieved for the session and speaker-independent experiments, establishing promising grounds for further exploring this technology towards silent speech recognition.
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Keyword:
continuous-wave radar; European Portuguese; machine learning; silent speech
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URL: https://doi.org/10.3390/s22020649
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| 3 |
Haptic performativity: exploring the force of bodies and the limits of linguistic action in silent protests
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| 5 |
Machine Learning Methods for Automatic Silent Speech Recognition Using a Wearable Graphene Strain Gauge Sensor. ...
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| 6 |
Silent EEG-Speech Recognition Using Convolutional and Recurrent Neural Network with 85% Accuracy of 9 Words Classification
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In: Sensors ; Volume 21 ; Issue 20 (2021)
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| 7 |
Machine Learning Methods for Automatic Silent Speech Recognition Using a Wearable Graphene Strain Gauge Sensor
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In: Sensors; Volume 22; Issue 1; Pages: 299 (2021)
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| 9 |
Women in the New Testament’s Church Ministry: The Problem of Remaining Silent
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In: Diligence: Journal of the Liberty University Online Religion Capstone in Research and Scholarship (2018)
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| 10 |
Variation de la durée des pauses silencieuses : impact de la syntaxe, du style de parole et des disfluences
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In: Langages, N 211, 3, 2018-08-29, pp.13-40 (2018)
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| 11 |
Neural and Behavioral Mechanisms of Clear Speech
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In: Graduate Theses and Dissertations (2017)
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| 12 |
Невербальные средства общения в диалогическом дискурсе терциарной речи
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БАБАЯН ВЛАДИМИР НИКОЛАЕВИЧ. - : Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Вятский государственный гуманитарный университет», 2016
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| 13 |
Articulation in multimodal silent speech interface for European Portuguese ; Interfaces de fala silenciosa multimodais para português europeu com base na articulação
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| 14 |
Charting the recovery of dysphagia in two complex cases of post-thermal burn injury: physiological characteristics and functional outcomes
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| 15 |
Preliminary Test of a Real-Time, Interactive Silent Speech Interface Based on Electromagnetic Articulograph
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In: CSE Conference and Workshop Papers (2014)
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| 18 |
Individual articulator's contribution to phoneme production
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In: CSE Conference and Workshop Papers (2013)
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| 19 |
Word Recognition from Continuous Articulatory Movement Time-Series Data using Symbolic Representations
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In: CSE Conference and Workshop Papers (2013)
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