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Automated Forced-Choice Tests of Speech Recognition.

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Automated speech recognition tests, including speech-recognition threshold (SRT) and word recognition, were developed. These new methods accurately assess hearing loss and are comparable to traditional techniques.

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Area of Science:

  • Audiology
  • Speech-language pathology
  • Biomedical engineering

Background:

  • Traditional speech recognition tests require manual scoring and audiologist supervision.
  • Developing automated methods can improve efficiency and accessibility in audiological assessments.

Purpose of the Study:

  • To create automated tests for speech-recognition threshold (SRT) and word recognition using computerized scoring.
  • To ensure automated SRT scores align with pure-tone audiometry averages.
  • To develop an automated word recognition test that differentiates normal hearing from sensorineural hearing loss for hearing aid evaluations.

Main Methods:

  • An automated SRT protocol was designed to find the lowest response level for spondees.
  • A closed-set, touchscreen word recognition test with rhyming and nonrhyming foils was administered.
  • Participants included young adults with normal hearing and individuals with sensorineural hearing loss.

Main Results:

  • Automated SRT scores closely matched pure-tone averages, similar to conventional methods.
  • Word recognition scores were highest with closed-set, nonrhyming foils and varied widely in hearing-impaired participants.
  • A moderate correlation was found between word recognition scores and pure-tone thresholds, particularly with higher frequencies.

Conclusions:

  • Automated SRTs are comparable to conventional clinical methods.
  • The automated closed-set word recognition test effectively distinguishes between normal and hearing-impaired groups.
  • These automated procedures offer reliable clinical test results independent of audiologist availability.