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Evaluation of a Silent Speech Interface based on Magnetic Sensing and Deep Learning for a Phonetically Rich Vocabulary
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Voice restoration after laryngectomy based on magnetic sensing of articulator movement and statistical articulation-to-speech conversion
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Towards an intraoral-based silent speech restoration system for post-laryngectomy voice replacement
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4 |
Direct Speech Reconstruction From Articulatory Sensor Data by Machine Learning
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5 |
Automatic recognition of children’s read speech for stuttering application
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6 |
A silent speech system based on permanent magnet articulography and direct synthesis
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7 |
A voice-input voice-output communication aid for people with severe speech impairment
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