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|a Wee, Keng Hoong
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|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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|a Massachusetts Institute of Technology. Research Laboratory of Electronics
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|a Turicchia, Lorenzo
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|a Sarpeshkar, Rahul
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|a Turicchia, Lorenzo
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|a Sarpeshkar, Rahul
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|a An Articulatory Speech-Prosthesis System
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|b Institute of Electrical and Electronics Engineers (IEEE),
|c 2012-09-27T15:12:42Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/73221
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|a We investigate speech-coding strategies for brain-machine-interface (BMI) based speech prostheses. We present an articulatory speech-synthesis system using an experimental integrated-circuit vocal tract that models the human vocal tract. Our articulatory silicon vocal tract makes feasible the transmission of low bit-rate speech-coding parameters over a bandwidth-constrained body sensor network (BSN). To the best of our knowledge, this is the first articulatory speech-prosthesis system reported to date. We also present a speech-prosthesis simulator (SPS) as a means to generate realistic articulatory parameter sequences.
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|a National Institutes of Health (U.S.) (Grant NS056140)
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|a en_US
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|a Article
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|t Proceedings of the International Conference on Body Sensor Networks (BSN), 2010
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