• DocumentCode
    2502300
  • Title

    Simulated performance intensity functions

  • Author

    Hines, Andrew ; Harte, Naomi

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Trinity Coll. Dublin, Dublin, Ireland
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    7139
  • Lastpage
    7142
  • Abstract
    Measuring speech intelligibility for different hearing aid fitting methods in a simulated environment would allow rapid prototyping and early design assessment. A simulated performance intensity function (SPIF) test methodology has been developed to allow experimentation using an auditory nerve model to predict listeners´ phoneme recognition. The test discriminates between normal hearing and progressively degrading levels of sensorineural hearing loss. Auditory nerve discharge patterns, presented as neurograms, can be subjectively ranked by visual inspection. Here, subjective inspection is substituted with an automated ranking using a new image similarity metric that can quantify neurogram degradation in a consistent manner. This work reproduces the test results of a real human listener with moderate hearing loss, in unaided and aided scenarios, using a simulation. The simulated results correlate within comparable error margins to the real listener test performance intensity functions.
  • Keywords
    auditory evoked potentials; hearing; medical signal processing; neurophysiology; physiological models; speech intelligibility; auditory nerve discharge patterns; auditory nerve model; hearing aid fitting methods; image similarity; listener phoneme recognition; neurogram degradation; sensorineural hearing loss; simulated performance intensity function test methodology; speech intelligibility; subjective inspection; visual inspection; Adaptation models; Auditory system; Ear; Humans; Speech; Speech recognition; Time frequency analysis; Algorithms; Audiometry, Pure-Tone; Auditory Threshold; Cochlear Nerve; Computer Simulation; Hearing Aids; Hearing Loss, Sensorineural; Humans; Models, Biological; Models, Neurological; Models, Statistical; Neurons; Reproducibility of Results; Speech Perception; Synaptic Transmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091804
  • Filename
    6091804