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Single Sideband Encoder with Nonlinear Filter Bank Using Denoising for Cochlear Implant Speech Processor

  • Rohini S. Hallikar
  • M. Uttara Kumari
  • K. Padmaraju
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 166)

Abstract

Cochlear Implants (CI) are the most successful neural prosthesis used to restore normal hearing to the profoundly deaf, by electrical stimulation of the auditory nerves. The use of speech coder is very crucial in the cochlear implant to obtain a very close resemblance of the normal hearing. Use of noise reduction techniques further enhances a satisfactory hearing in noisy conditions. We propose a new method of sound processing which gives improved speech recognition. To achieve this goal we implemented denoising technique and further adopted SSB demodulation along with a non linear filterbank such as The Dual Resonance Non Linear (DRNL) which is capable of modeling the behavior of the human cochlea. Comparative analysis was done to understand the performance of the proposed method with existing method. Simulation results showed a significant improvement in the speech recognition over existing method.

Keywords

Neural Prosthesis Cochlear Implants DRNL Denoising 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Rohini S. Hallikar
    • 1
  • M. Uttara Kumari
    • 1
  • K. Padmaraju
    • 2
  1. 1.Department of ECER.V. College of EngineeringBangaloreIndia
  2. 2.Departments of ECEJNT UniversityKakinadaIndia

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