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Environment-adaptive speech enhancement for bilateral cochlear implants using a single processor.

Taher S Mirzahasanloo1, Nasser Kehtarnavaz1, Vanishree Gopalakrishna1

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

Speech Communication
|March 11, 2014
PubMed
Summary
This summary is machine-generated.

This study presents an efficient speech enhancement pipeline for cochlear implants, improving sound clarity in noisy settings. The single-processor design offers real-time benefits and enhanced performance compared to existing methods.

Keywords:
Bilateral cochlear implantsEnvironment-adaptive speech enhancementSingle-processor speech enhancement for bilateral cochlear implants

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Auditory Neuroscience

Background:

  • Bilateral cochlear implant (CI) systems aim to restore hearing but face challenges with speech intelligibility in noisy environments.
  • Existing speech enhancement algorithms often require significant computational resources, limiting real-time application in CI devices.
  • The need for efficient, synchronized processing is critical for effective bilateral CI function.

Purpose of the Study:

  • To develop a computationally efficient, single-processor speech enhancement pipeline for bilateral cochlear implant systems.
  • To evaluate the performance of the proposed pipeline in various noisy conditions.
  • To demonstrate the advantages of the proposed method over existing one-channel approaches.

Main Methods:

  • A two-channel joint objective function was defined using a weighted-Euclidean distortion measure.
  • A closed-form solution was derived for the objective function, enabling efficient computation.
  • The pipeline was implemented on a single processor, eliminating the need for inter-processor synchronization.

Main Results:

  • The developed speech enhancement pipeline demonstrated significant computational efficiency.
  • Effectiveness was validated across six diverse noisy environments using a standardized speech quality measure.
  • Performance was superior to a comparable one-channel enhancement pipeline utilizing separate or sequential processing.

Conclusions:

  • The proposed single-processor speech enhancement pipeline is computationally efficient and suitable for real-time deployment in bilateral CI systems.
  • The method effectively improves speech quality in noisy environments, offering a practical solution for hearing restoration.
  • This approach overcomes synchronization limitations and computational demands of multi-processor systems.