Digital signal processor-based feature extraction vocoder for the deaf

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

doi:10.1109/CBMS.1992.245008

Back

Conference proceeding

Digital signal processor-based feature extraction vocoder for the deaf

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

[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems, Vol.1992-, pp.504-509

1992

DOI: https://doi.org/10.1109/CBMS.1992.245008

Abstract

Computer vision

Digital signal processors

Feature extraction

Frequency

Linear predictive coding

Microprocessors

Signal processing

Signal processing algorithms

Speech processing

Vocoders

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.< >

Metrics

50 Record Views

Details

Title: Digital signal processor-based feature extraction vocoder for the deaf
Creators: E Miskiel - Intelligent Hearing Systems
O Ozdamar
D.K Oller - University of Miami*
R Eilers - University of Miami*
Publication Details: [1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems, Vol.1992-, pp.504-509
Publisher: IEEE Comput. Soc. Press
Academic Unit: College of Engineering; CoE - Biomedical Engineering
Language: English
Resource Type: Conference proceeding
Record Identifier: 991031725901202976