Speech recognition in noise is affected by two types of processes, namely signal driven and knowledge driven. Speech recognition in noise is clinically used to assess the auditory functions in individuals with hearing sensitivity within normal limits and with hearing loss. 1 Comprehensive understanding of speech depends on various noise conditions like, signal to noise ratio (SNR) and types of background noise. Perception of speech is the ability of the listener to perceive the acoustic waveform produced by a speaker as a string of meaningful words and ideas and attend to it. Further research is needed to assess speech recognition in Malayalam listeners in the presence of other non-native backgrounds of various types. The results of the present study highlight the importance of using native multitalker babble for Kannada listeners in lieu of non-native babble and, considering the importance of each SNR for estimating speech recognition in noise scores. However, this was not same with the Malayalam listeners wherein they performed equally well with native (Malayalam) as well as non-native babble (Kannada). Performance of Kannada Listeners was significantly higher in the presence of native (Kannada) babble compared to non-native babble (Malayalam). Results showed that the speech recognition in noise was significantly higher for 0 dB signal to noise ratio (SNR) compared to -3 dB SNR for both the languages. Speech recognition was assessed for native listeners of both the languages in the presence of native and non-native multitalker babble. For this purpose, 6 and 10 multitalker babble were generated in Kannada and Malayalam language. The speech recognition in noise was assessed on 60 participants (18 to 30 years) with normal hearing sensitivity, having Malayalam and Kannada as their native language. The aim of the study was to assess speech recognition in noise using multitalker babble of native and non-native language at two different signal to noise ratios.
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