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Direct Speech Reconstruction From Articulatory Sensor Data by Machine Learning.

IEEE/ACM Transactions on Audio, Speech, and Language Processing(2017)

Cited 73|Views66
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Abstract
This paper describes a technique that generates speech acoustics from articulator movements. Our motivation is to help people who can no longer speak following laryngectomy, a procedure that is carried out tens of thousands of times per year in the Western world. Our method for sensing articulator movement, permanent magnetic articulography, relies on small, unobtrusive magnets attached to the lip...
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Key words
Biology,Speech recognition,Machine learning,Acoustics,Magnetacoustic effects,Recurrent neural networks,Real-time systems,Sensors
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