MONAURAL VERSUS BINAURAL DISCRIMINATION FOR FILTERED CNC MATERIALS: THE IMPAIRED AUDITORY MECHANISM.

Abstract

Northwestern University Auditory Test No. 4 was altered by: (1) low-pass filtering with a 1480 cps cutoff frequency and a 54 dB per octave slope; and (2) high-pass filtering utilizing an 1830 cps cutoff frequency and a 36 dB per octave slope. By using these filtered materials, a single binaural and two monaural articulation functions were derived for each of 60 subjects with peripheral hearing losses and 7 subjects with unilateral CNS lesions judged to involve the auditory system. In the monaural conditions each subject received either the high-pass or low-pass filtered signal. In the binaural condition the two messages were presented simultaneously, one to each ear. The experimental hypothesis predicted that for the subjects with peripheral impairments, the slope of the binaural function would exceed that of the steeper monaural one. Conversely, it predicted that for the subjects with unilateral central involvement, the binaural function would not differ in slope from the monaural functions. Results only partially confirmed this hypothesis. For both groups, the slope of the binaura'l function exceeded that of the steeper monaural function; however, the slope of the binaural function for the peripheral lesion group exceeded that of the CNS lesion group. Since the hearing acuity of the latter group was within normal limits, this fxinding indicates that in unilateral central auditory lesions, the binaural processing of speech signals is incomplete. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1966
Accession Number
AD0639639

Entities

People

  • Paul C. Bucy
  • Raymond Carhart
  • Tom W. Tillman

Organizations

  • Northwestern University

Tags

DTIC Thesaurus Topics

  • Discrimination
  • Filtration
  • Frequency
  • Hearing Loss
  • Materials
  • Universities

Fields of Study

  • Psychology

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Geotechnical Engineering.
  • Speech Processing/Speech Recognition.