Title :
Predicting the effect of AGC on speech intelligibility of cochlear implant recipients in noise
Author :
Khing, Phyu P. ; Ambikairajah, E. ; Swanson, Brett A.
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
The aim of this study was to predict the effects of automatic gain control (AGC) on the speech intelligibility of cochlear implant recipients in noise. Two simple signal metrics were calculated: the proportion of clipping, and the output signal-to-noise ratio (SNR). Psychometric functions were fitted to the percent correct scores averaged over five cochlear implant recipients for three different AGC conditions, at two different input SNRs, for a range of presentation levels. The output SNR was a good predictor of the recipients´ mean scores.
Keywords :
automatic gain control; cochlear implants; speech intelligibility; AGC effect prediction; SNR; automatic gain control; cochlear implant recipient; psychometric function; signal metrics; signal-to-noise ratio; speech intelligibility; Abstracts; Gain; Gain control; Indexes; Noise; Noise measurement; AGC; SNR; cochlear implant; psychometric fit; speech intelligibility;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6639235
