ملخص: In this paper, a time/frequency, multi-look masking model is proposed to predict the detection and discrimination of speech-like stimuli in a variety of noise environments. In the first stage of the model, sound is processed through an auditory front end which includes bandpass filtering, squaring, time windowing, logarithmic compression and additive internal noise. The result is an internal representation of time/frequency "looks" for each sound stimulus. To detect or discriminate a signal in noise, the listener combines information across looks using a weighted d' detection device. Parameters of the model are fit to previously measured masked thresholds of bandpass noises which vary in bandwidth, duration, and center frequency (JASA 101 (1997) 2789). The resulting model is successful in predicting masked thresholds of spectrally shaped noise bursts, glides, and formant transitions of varying durations. The model is also successful in predicting the discrimination of synthetic plosive CV syllables in a variety of noise environments and vowel contexts.

لغة: إنجليزية