“…There is ample evidence that listeners can adapt to a range of different types of variability in the speech signal, such as in synthetic (Fenn et al�, 2003;Greenspan, Nusbaum, and Pisoni, 1988), time-compressed (Dupoux and Green, 1997) or noise-vocoded speech (Rosen et al�, 1999), speech embedded in multi-speaker babble noise (Song et al�, 2012), and accents (Clarke and Garrett, 2004;Weber et al�, 2014)� In foreign-accented speech, for example, significant processing gains begin to emerge after exposure to only a few accented sentences (Clarke and Garrett, 2004;Weber et al�, 2014)� These studies have typically used either an increase in intelligibility, as measured by having listeners repeat or transcribe what they heard, or an increase in processing speed, as measured by reaction times in a comprehension-based task, as the dependent variable� A central question in the context of speaker-specific listening is whether this kind of learning, such as adapting to a foreign accent, can also generalise and aid in the comprehension of other speakers who speak with the same accent� This was investigated in a series of experiments on Chineseaccented English with American listeners by Bradlow and Bent (2008)� In their study, listeners were trained to become better at understanding Chinese-accented speech coming either from only one speaker or from several different speakers� After training, generalisation of learning was tested with speech materials from an unfamiliar speaker� For listeners in both conditions, intelligibility of the accented speech increased during train-ing� However, only after exposure to multiple speakers was there evidence of speaker-independent learning� Thus, the perceptual system seemed to treat the unfamiliar accent initially as a speaker idiosyncrasy, but was able to construct a more abstract representation of that accent after exposure to it from multiple speakers� This behaviour is adaptive in the sense that it would not be beneficial to apply learning about a speaker idiosyncrasy indiscriminately, since any given novel speaker is unlikely to have that same idiosyncrasy in their speech� It is beneficial however, to have a more abstract representation of non-standard features that apply to a larger group, because the learned representation can be applied immediately rather than having to go through the learning process over and over again for every encounter of a new speaker with that accent� While this type of empirical research has revealed important properties of perceptual learning about speakers, measuring global comprehension by testing at the lexical level, cannot identify what exactly it is in the speech signal that listeners are adapting to, or how they do it� However, a related series of studies has investigated how perceptual learning affects processing at a sublexical level, and the mechanisms that may be driving it� These experiments used an ambiguous speech stimulus, that is, a sound that falls on the category boundary between two phonemes, as a proxy for a speaker idiosyncrasy or a feature of an accent� Learning is measured by observing relatively subtle shifts in the categorisation of such ambiguous stimuli following a period of exposure� During exposure, listeners have different types of co...…”