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Asynchronous interleaved stimulation (AIS): a new speech coding strategy for cochlear implant

M Ouayoun1, V Péan, J Génin

  • 1Laboratoire de Recherches O.R.L. du Centre Hospitalo Universitaire Paris Saint-Antoine, France.

Acta Oto-Laryngologica
|March 1, 1997
PubMed
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This study introduces a new cochlear implant strategy, Asynchronous-Interleaved-Stimulation (AIS), which dynamically adjusts the analysis window based on speech signals. This method significantly improves speech discrimination for cochlear implant users compared to traditional fixed-window approaches.

Area of Science:

  • Biomedical Engineering
  • Auditory Neuroscience
  • Signal Processing

Background:

  • Cochlear implants traditionally use fixed or F0-dependent stimulation rates, regardless of the analyzed sound or processing method.
  • Existing methods often struggle to optimally represent both transient and stationary aspects of speech signals due to fixed analysis parameters.

Purpose of the Study:

  • To present a novel cochlear implant signal processing strategy that adapts its analysis window based on the input signal characteristics.
  • To evaluate the effectiveness of this adaptive strategy in improving speech perception for cochlear implant users.

Main Methods:

  • Developed a Fast Fourier Transform (FFT) based analysis using a variable-width window, adapting to transient and stationary speech signal components.
  • Implemented a system where short windows (high time resolution) are used for transient signal parts, coupled with increased stimulation frequency.

Related Experiment Videos

  • Utilized large windows (high frequency resolution) for stationary signal parts, with window switching triggered by statistical properties of the FFT.
  • Clinically assessed the Asynchronous-Interleaved-Stimulation (AIS) strategy in six cochlear implant users using a consonant-vowel-consonant test.
  • Main Results:

    • The Asynchronous-Interleaved-Stimulation (AIS) strategy demonstrated superior speech discrimination performance compared to fixed-window FFT analysis.
    • Adaptive windowing allowed for better tracking of rapid temporal variations in speech signals.

    Conclusions:

    • The proposed adaptive windowing strategy, AIS, offers a significant improvement in speech perception for cochlear implant users.
    • Dynamic adjustment of analysis window width and stimulation rate based on signal characteristics is a promising approach for enhanced cochlear implant processing.