Manipulation of Signal-to-Noise Ratio to Compensate for Variations in Word Identification Scores Due to Change in Masker
- SNR, White noise, Word identification, Children, Speech babble
Abstract
The type of masking noise is known to affect speech identification. Some maskers are known to have a greater masking effect on speech than others. Thus, the study aimed to investigate whether manipulating the signal-to-noise ratio (SNR) of a masker can compensate for variations in word identification scores obtained due to change in the type of masker. To investigate this, the scores obtained by 20 children on a speech identification test using an 8-talker babble was compared with that obtained on a word identification test in the presence of white noise. The former test was evaluated at 0 dB SNR using the ‘Speech perception-in-noise in Kannada’ (SPIN-K) and the latter in three different SNRs (0 dB, -5 dB, & -10 dB) using the ‘Kannada Word identification-in-white noise’ (WIWN-K). Speech babble was found to have a greater masking effect at 0 dB SNR, resulting in poorer speech identification scores than white noise. However, the speech identification scores obtained using white noise at -10 dB SNR was equivalent to that of scores obtained with speech babble at 0 dB SNR. The study highlights that the masking effect of continuous white noise can be made equivalent to the masking effect of an 8-talker speech babble by reducing the SNR.
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