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Algorithms, hardware, and software for a digital signal processor microcomputer-based speech processor in a

L R Morris, P Barszczewski

    IEEE Transactions on Bio-Medical Engineering
    |June 1, 1989
    PubMed
    Summary
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    A new digital signal processing system efficiently models speech in real-time using linear predictive coding (LPC). This compact, low-power technology aids hearing-impaired individuals and cochlear implant development.

    Area of Science:

    • Digital Signal Processing
    • Speech Technology
    • Biomedical Engineering

    Background:

    • Development of advanced signal processing systems for real-time speech analysis.
    • Need for compact, low-power hardware for hearing assistance technologies.

    Purpose of the Study:

    • To develop a powerful, inexpensive, and compact digital signal processing system.
    • To extract a low-bit rate linear predictive coding (LPC) speech model in real-time.
    • To derive accurate spectral envelope, formant, pitch, and amplitude information.

    Main Methods:

    • Utilized Texas Instruments TMS320 family processors.
    • Designed a compact system with three chips (TMS320E17, A/D-D/A, op-amp).
    • Achieved low power consumption (<0.5 W).

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    Main Results:

    • Real-time extraction of LPC speech model parameters.
    • Accurate derivation of spectral envelope, formant, pitch, and amplitude.
    • Demonstrated a highly compact and energy-efficient processing system.

    Conclusions:

    • The developed system offers a powerful and efficient solution for real-time speech modeling.
    • The technology has significant potential for programmable cochlear implant systems.
    • The system is applicable to various assistive devices for the hearing handicapped.