The purpose of this study was to investigate effects of noise type and signal-to-noise ratio (SNR) on word recognition
performance. Word recognition scores were measured in three types of noise conditions [white noise (WN), speech noise (SN),
and multi-talker babble noise (MBN)], which were applied to various signal-to-noise ratio conditions (-5, 0, +5, +10, +15, and
+20 dB SNR). Twenty adults and twenty school-aged children with normal hearing sensitivity participated. The results of this
study are summarized as follows: First, the adults showed significantly increased word recognition performance as SNR
increased from -5 dB to +10 dB in all the noise types. The scores for SN were significantly higher than those for the other
noise types and there was no significant difference between MBN and WN. At least +10 dB SNR was required to maximize
their recognition abilities in the SN and MBN conditions. Second, the children also showed significantly increased word
recognition performance as it changed from +10 dB SNR to +20 dB SNR in three different noise types. Performances were
significantly different among three types of noise, indicating SN, MBN, and WN from greatest to least. At least +20 dB SNR
was required to maximize their recognition abilities in the SN and MBN conditions. Third. when comparing the performances
between adults and children at the +10 dB SNR, there were significant differences between groups and among noise types. In
conclusion, the results revealed word recognition to be affected by the function of SNR and type of noise. The findings show
that SN and MBN can be more useful in clinical practice than WN, since even subjects with normal hearing showed very
low performance in WN. Moreover, when comparing the performances between adults and children, approximately +10 dB
SNR was required for children more than adults for their best word recognition performance.