Talker normalization makes speech processing more efficient by reducing the degrees of
freedom between the highly variable acoustic realization of speech and its abstract mental
representation. However, it is unknown how processing gains afforded by talker
normalization depend on the amount of talker-specific information available in the preceding
speech context. We explored the timecourse of extrinsic talker normalization in a series of
speeded classification tasks that parametrically varied the amount of talker-specific phonetic …