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A recursive wavelet-based strategy for real-time cochlear implant speech processing on PDA platforms.

Vanishree Gopalakrishna1, Nasser Kehtarnavaz, Philipos C Loizou

  • 1Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA.

IEEE Transactions on Bio-Medical Engineering
|April 21, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a novel wavelet-based speech coding strategy for cochlear implants, achieving higher analysis rates and reduced spectral leakage. The system runs in real time on a personal digital assistant (PDA), offering interactive parameter manipulation for users.

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Auditory Neuroscience

Background:

  • Cochlear implants require efficient speech coding strategies for optimal performance.
  • Existing strategies face limitations in real-time processing and spectral efficiency.
  • Personal Digital Assistant (PDA) platforms offer potential for portable, real-time signal processing.

Purpose of the Study:

  • To develop and implement a wavelet-based speech coding strategy for cochlear implants.
  • To evaluate the real-time performance and efficiency of the proposed strategy on a PDA.
  • To compare the proposed strategy against existing methods in terms of computational complexity and spectral leakage.

Main Methods:

  • A novel wavelet packet decomposition approach was developed for speech coding.
  • The strategy was implemented in real time on a PDA platform.
  • Performance was evaluated by comparing computational complexity, spectral leakage, fixed-point accuracy, and real-time processing capabilities against existing strategies.
  • A recursive mechanism for updating wavelet coefficients was introduced.

Main Results:

  • The proposed wavelet-based strategy achieved higher analysis rates compared to existing methods.
  • The strategy demonstrated the ability to run in real time on a PDA.
  • Lower spectral leakage was observed with the proposed strategy.
  • The PDA implementation provided interactive control over parameters.

Conclusions:

  • The wavelet-based speech coding strategy is suitable for real-time implementation on PDA platforms for cochlear implants.
  • This approach offers improved analysis rates and reduced spectral leakage.
  • The interactive PDA implementation facilitates user-driven parameter exploration and system optimization.