• DocumentCode
    2955127
  • Title

    An application-specific low power speech processor for cochlear implants

  • Author

    Mai, Songping ; Zhang, Chun ; Wang, ZhiHua

  • Author_Institution
    Inf. Sci. & Technol. Div., Tsinghua Univ., Shenzhen, China
  • fYear
    2009
  • fDate
    26-28 Nov. 2009
  • Firstpage
    177
  • Lastpage
    180
  • Abstract
    Fully implantable cochlear prostheses are considered as next generation products, in which low power speech processors are very crucial. This paper reports a digital speech processor dedicated to cochlear prostheses. It is a programmable platform and able to carry out all kinds of speech processing algorithms. Several application-specific low power techniques including algorithm optimization, wait mode, operand isolation, clock gating, loop cache and memory partitioning are introduced in the processor design. Implemented using 0.18 ¿m CMOS technology, the processor prototype consumes about 2.3 mW when executing the continuous-interleaved-sampling (CIS) algorithm at a clock frequency of 10 MHz.
  • Keywords
    CMOS integrated circuits; application specific integrated circuits; biomedical electronics; cochlear implants; digital signal processing chips; low-power electronics; speech processing; CMOS technology; algorithm optimisation; application specific low power speech processor; application specific low power techniques; clock gating; cochlear implants; continuous interleaved sampling algorithm; digital speech processor; implantable cochlear prostheses; loop cache partitioning; memory partitioning; next generation products; operand isolation; speech processing algorithms; wait mode; Algorithm design and analysis; CMOS process; CMOS technology; Clocks; Cochlear implants; Design optimization; Partitioning algorithms; Process design; Prosthetics; Speech processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference, 2009. BioCAS 2009. IEEE
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4917-0
  • Electronic_ISBN
    978-1-4244-4918-7
  • Type

    conf

  • DOI
    10.1109/BIOCAS.2009.5372054
  • Filename
    5372054