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Related Experiment Videos

Speech encoding strategies for multielectrode cochlear implants: a digital signal processor approach

N Dillier1, H Bögli, T Spillmann

  • 1Department of Otorhinolaryngology, University Hospital, Zurich, Switzerland.

Progress in Brain Research
|January 1, 1993
PubMed
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New cochlear implant (CI) speech processing strategies, Pitch Excited Sampler (PES) and Continuous Interleaved Sampler (CIS), significantly improved consonant identification in CI users compared to current processors.

Area of Science:

  • Audiology
  • Biomedical Engineering
  • Speech Processing

Background:

  • Cochlear implant digital speech processors (CIDSP) are crucial for hearing restoration.
  • Existing processing strategies have limitations in speech perception.
  • The Nucleus 22-channel cochlear prosthesis requires advanced signal processing.

Purpose of the Study:

  • To implement and evaluate novel speech processing strategies for a cochlear implant.
  • To compare the performance of Pitch Excited Sampler (PES) and Continuous Interleaved Sampler (CIS) against existing methods.
  • To assess the impact of strategy variations on speech identification.

Main Methods:

  • Implemented PES and CIS strategies on an experimental CIDSP for the Nucleus 22-channel prosthesis.

Related Experiment Videos

  • PES uses voice pitch to control pulse rate; CIS uses a signal-independent rate.
  • Evaluated strategies with five experienced cochlear implant users using consonant and vowel identification tests.
  • Main Results:

    • Significantly better consonant identification scores observed with PES and CIS compared to subjects' own processors.
    • Vowel identification improvements were minimal.
    • Variations in PES and CIS strategies led to significant differences in identification scores.

    Conclusions:

    • Novel PES and CIS strategies offer improved consonant perception for cochlear implant users.
    • Further optimization of processing parameters is needed based on detailed speech and psychophysical evaluations.
    • Fine-tuning strategies requires more comprehensive data for enhanced auditory rehabilitation.