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A novel speech-processing strategy incorporating tonal information for cochlear implants.

N Lan1, K B Nie, S K Gao

  • 1Department of Biokinesiology and Physical Therapy, University of Soutern California, CHP-155, Los Angeles, CA 90089, USA. ninglan@usc.edu

IEEE Transactions on Bio-Medical Engineering
|May 11, 2004
PubMed
Summary

A new cochlear implant speech processor effectively extracts both speech envelopes and fundamental frequency (F0) to improve Chinese tone perception. This advanced strategy enhances communication for cochlear implant users speaking tonal languages.

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Area of Science:

  • Auditory Neuroscience
  • Speech Processing
  • Biomedical Engineering

Background:

  • Cochlear implant performance relies on effective speech signal decomposition for auditory nerve stimulation.
  • Current processors, like continuous interleaved sampling (CIS), may not adequately convey tonal information crucial for tonal languages such as Chinese.
  • Tonal language speakers with sensorineural hearing loss face unique challenges in speech perception with existing cochlear implant technology.

Purpose of the Study:

  • To develop and evaluate a novel speech-processing strategy for cochlear implants tailored to tonal languages.
  • To enhance the encoding of tonal speech features by extracting both signal envelopes and fundamental frequency (F0).
  • To improve speech perception, particularly tone, phrase, and sentence recognition, in cochlear implant users who speak tonal languages.

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Main Methods:

  • Developed a novel speech-processing strategy extracting both narrow-band signal envelopes and fundamental frequency (F0).
  • Implemented an algorithm to extract F0 and identified pitch variation patterns for four Chinese tones.
  • Verified F0 extraction algorithm effectiveness using an artificial neural network for tonal pattern recognition.
  • Compared the novel strategy against the envelope-extraction CIS strategy in human subjects with normal hearing.

Main Results:

  • The novel strategy significantly improved the perception of Chinese tones, phrases, and sentences compared to the CIS strategy.
  • The developed algorithm successfully extracted fundamental frequency (F0) and identified tonal patterns.
  • Human subjects demonstrated enhanced understanding of tonal speech elements using the new processor.

Conclusions:

  • The novel speech-processing strategy, dynamically modulating both frequency and amplitude, shows significant promise for cochlear implant design.
  • This approach offers a viable solution for improving cochlear implant efficacy in sensorineurally deaf patients who speak tonal languages.
  • Further development of this processor could greatly benefit users relying on tonal cues for effective communication.