A Novel Speech Processing Algorithm for Cochlear Implant Based on Selective Fundamental Frequency Control

  • Tian Guan
  • Qin Gong
  • Datian Ye
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4232)


The speech recognition ability of most CI users in noisy environment remains quite poor, especially for those who speak tonal language, such as Mandarin. Based on the results of the acoustic research on Mandarin, a novel algorithm using fundamental frequency was proposed, adding the principle of frequency bands selection. Using this principle F0 was encoded only in the selected frequency bands, which was confirmed effectively in acoustic simulation experiments with white noise or mixed speech environment. Compared with the traditional algorithm which only transmitted envelope cues, this novel strategy achieved remarkable improvement no matter adopting Mandarin vowels, words, sentences or mixed sentences. What’s more, the amount of transmission in this algorithm decreased to 62.5% compared with similar algorithms which transmit fundamental frequency in full channels.


Fundamental Frequency Recognition Rate Speech Signal Cochlear Implant Lift Scheme 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tian Guan
    • 1
  • Qin Gong
    • 1
  • Datian Ye
    • 2
  1. 1.Department of Biomedical EngineeringTsinghua Univ.BeijingP.R. China
  2. 2.Research Center of Biomedical Engineering, Graduate School at ShenzhenTsinghua Univ.ShenzhenP.R. China

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