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Speech processing for cochlear implants with the discrete wavelet transform: feasibility study and performance

Alessia Paglialonga1, Gabriella Tognola, Giuseppe Baselli

  • 1CNR Inst. of Biomed. Eng., Milan.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|October 20, 2007
PubMed
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The discrete wavelet transform (DWT) offers a promising alternative for cochlear implant (CI) speech processing. This DWT method shows minimal information loss and comparable performance to traditional strategies in speech recognition tests.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Auditory Neuroscience

Background:

  • Traditional cochlear implant (CI) speech processing relies on filter-bank spectral analysis.
  • Limitations exist in current CI speech processing strategies.
  • Exploring novel signal processing techniques is crucial for improving CI performance.

Purpose of the Study:

  • To investigate the discrete wavelet transform (DWT) as an innovative approach for speech processing in cochlear implants (CIs).
  • To compare the performance of DWT with traditional filter-bank analysis methods in the context of CI speech processing.
  • To evaluate the speech intelligibility and recognition of DWT-processed speech in normal-hearing individuals via acoustic simulations.

Main Methods:

  • Speech signal analysis using the discrete wavelet transform (DWT).

Related Experiment Videos

  • Comparison of DWT with traditional filter-bank spectral analysis methods.
  • Acoustic simulations and speech recognition tests on normal-hearing listeners to assess intelligibility.

    • Main Results:

    • The DWT method demonstrated minimal information loss compared to traditional filter-bank strategies.
    • Speech recognition test performance using DWT was found to be similar to traditional CI algorithms.
    • Preliminary tests indicated the suitability of DWT for speech coding in CIs.

    Conclusions:

    • The discrete wavelet transform (DWT) is a viable and effective method for speech processing in cochlear implants (CIs).
    • DWT offers comparable performance to existing filter-bank methods with reduced information loss.
    • Further research into DWT-based speech coding holds potential for enhancing CI auditory rehabilitation.