Selecting among competing models of talker adaptation: Attention, cognition, and memory in speech processing efficiency

Abstract

Phonetic variability across talkers imposes additional processing costs during speech perception, often measured by performance decrements between single- and mixed-talker conditions. However, models differ in their predictions about whether accommodating greater phonetic variability (i.e., more talkers) imposes greater processing costs. We measured speech processing efficiency in a speeded word identification task, in which we manipulated the number of talkers (1, 2, 4, 8, or 16) listeners heard. Word identification was less efficient in every mixed-talker condition compared to the single-talker condition, but the magnitude of this performance decrement was not affected by the number of talkers. Furthermore, in a condition with uniform transition probabilities between two talkers, word identification was more efficient when the talker was the same as the prior trial compared to trials when the talker switched. These results support an auditory streaming model of talker adaptation, where processing costs associated with changing talkers result from attentional reorientation.