Title :
An Articulatory Speech-Prosthesis System
Author :
Wee, Keng Hoong ; Turicchia, Lorenzo ; Sarpeshkar, Rahul
Author_Institution :
Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
Abstract :
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.
Keywords :
body sensor networks; brain-computer interfaces; prosthetics; silicon; speech coding; speech synthesis; articulatory silicon vocal tract; articulatory speech-prosthesis system; bandwidth-constrained body sensor network; brain-machine-interface; experimental integrated-circuit vocal tract; human vocal tract; low bit-rate speech-coding parameters; realistic articulatory parameter sequences; speech-coding strategies; speech-prosthesis simulator; Biological system modeling; Biology; Body sensor networks; Circuits; Electroencephalography; Prosthetics; Silicon; Speech coding; Speech synthesis; Synthesizers; analog bionic vocal tract; articulatory speech prosthesis; bio-inspired circuits; speech coding; speech synthesis;
Conference_Titel :
Body Sensor Networks (BSN), 2010 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5817-2
DOI :
10.1109/BSN.2010.29
