Objective measures for hearing loss compensation techniques

  • Authors:

  • Janet C. Rutledge;Apichat Tungthangthum

  • Affiliations:

  • Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL;Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
  • Year:
  • 1993

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Abstract

Many techniques have been developed to compensate for hearing losses. With each new implementation a subject-based test was needed to verify its quality. In this work we have developed objective measures to predict the results of a subject-based test. The measures can be computed directly from the original speech waveform and a speech waveform processed using the compensation technique. Certain parameters are extracted from the frequency spectra of the original speech waveform and used as the input to train a phoneme classifier. Here, we use a feed forward neural network. Then the same type of parameters are also measured from the processed speech waveform with some constraints of the hearing loss, such as hearing threshold, incorporated. The objective measures will be used to predict the performance quality of new techniques we are developing.