Digital signal processor-based feature extraction vocoder for the deaf

E. Miskiel, O. Ozdamar, D. K. Oller, R. Eilers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An innovative feature detection tactile vocoder based on linear predictive coding (LPC) processing algorithms is described. The device utilizes the 80386 microprocessor and the TMS320C30 floating point digital signal processor. Speech processing is implemented in real-time. The vocoder algorithms allow the detection of spectral peaks corresponding to the first three formants of the vocal tract as well as fundamental frequency. This LPC approach enhances the ability of vocoders to track formant transitions and fundamental frequency, and it minimizes spatiotemporal masking.

Original languageEnglish (US)
Title of host publicationComputer-Based Medical Systems - Proceedings of the 5th Annual IEEE Symposium, CBMS 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages504-509
Number of pages6
ISBN (Electronic)0818627425
DOIs
StatePublished - Jan 1 1992
Event5th Annual IEEE Symposium on Computer-Based Medical Systems, CBMS 1992 - Durham, United States
Duration: Jun 14 1992Jun 17 1992

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
Volume1992-June
ISSN (Print)1063-7125

Conference

Conference5th Annual IEEE Symposium on Computer-Based Medical Systems, CBMS 1992
CountryUnited States
CityDurham
Period6/14/926/17/92

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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    Miskiel, E., Ozdamar, O., Oller, D. K., & Eilers, R. (1992). Digital signal processor-based feature extraction vocoder for the deaf. In Computer-Based Medical Systems - Proceedings of the 5th Annual IEEE Symposium, CBMS 1992 (pp. 504-509). [245008] (Proceedings - IEEE Symposium on Computer-Based Medical Systems; Vol. 1992-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBMS.1992.245008