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. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1109/BSN.2010.29 | BSN |
Keywords | Field | DocType |
vocal tract,experimental integrated-circuit vocal tract,articulatory speech-prosthesis system,bandwidth-constrained body sensor network,speech-prosthesis simulator,speech-coding strategy,human vocal tract,articulatory silicon,realistic articulatory parameter sequence,articulatory speech-synthesis system,electroencephalography,speech,silicon,brain computer interfaces,biology,brain machine interface,circuits,integrated circuit,speech synthesis,speech coding | Computer vision,Speech synthesis,Speech coding,Computer science,Brain–computer interface,Speech recognition,Artificial intelligence,Wireless sensor network,Vocal tract | Conference |
Citations | PageRank | References |
2 | 0.43 | 5 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Keng Hoong Wee | 1 | 23 | 5.98 |
L Turicchia | 2 | 99 | 14.56 |
R Sarpeshkar | 3 | 746 | 110.05 |