Digital signal processor-based feature extraction vocoder for the deaf
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.
Publication Title
Proceedings - IEEE Symposium on Computer-Based Medical Systems
Recommended Citation
Miskiel, E., Ozdamar, O., Oller, D., & Eilers, R. (1992). Digital signal processor-based feature extraction vocoder for the deaf. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 1992-June, 504-509. https://doi.org/10.1109/CBMS.1992.245008
