The purpose of this study was to analyze the effects of redundancy changes in time and frequency domains (compression/expansion and high/low pass filtering) on discriminating monosyllabic words (CVC) under various signal to noise ratios (No noise, 10 dB, 0 dB,
-10 dB SNR). Ten normal adult subjects participated in the study and three groups of “gom/gong”, “mal/bal”, and “sun/soon” sets were used as CVC word lists. In general, as the level of noise was increased, the ability of discriminating the listed set of words was
deteriorated and this tendency was even pronounced under ipsilateral noise presentations. Changes in time and frequency domain clearly affected the discrimination performances of three test sets in conjunction with various levels of noise (SNR). The following main results were obtained from this experiment. 1) In ipsilateral presentation of noise, the lowest discrimination score was obtained in “gom/gong” set under the HIGH condition of redundancy change (i.e. highpass filtering in frequency). 2) In contralateral presentation of noise, the lowest discrimination score was recorded in “gom/gong” set as well and no statistically significant differences were observed in right and left sides of noise stimulation. 3) Even in normal subjects, discrimination of ending consonants (such as in gom/gong set) and initial consonants (such as in mal/bal set), and intermediate vowels (such as in sun/soon) were significantly influenced by the level of noise. Thus, in these data, it was suggested that the effects of the noise, together with time and frequency alterations, were critical in discriminating these CVC words. In conclusion, temporal changes in FAST/SLOW modes and spectral
changes in LOW/HIGH modes could interact with the levels of SNR and the resultant combinations seemed to play critical roles in similar frequency bands in related phonemes. This kind of clinical data could be valuable in auditory training and rehabilitation for
the hearing impaired.
KEY WORDS:Monosyllabic words·Ipsilateral noise·Contralateral noise·Redundancy change.