“…However, while some contrasts in laboratory speech are well-separated acoustically (Lisker & Abramson, 1964 ), categories overlap substantially in naturalistic speech, as in the second panel of Figure 2a (Antetomaso et al, 2017 ; Bard & Anderson, 1982 ; Bion et al, 2013 ; Hitczenko et al, 2020 ; Pollack & Pickett, 1963 ; Swingley, 2019 ). 4 Most models that have tested the feasibility of distributional learning for identifying phonetic categories have simplified the learning problem, for example, by using artificial data with low variability (McMurray et al, 2009 ; Pajak et al, 2013 ; Vallabha et al, 2007 ), focusing only on subsets of the categories infants would need to acquire (Adriaans & Swingley, 2017 ; de Boer & Kuhl, 2003 ; Gauthier et al, 2007 ), or limiting the training data to a single speaker (Miyazawa et al, 2010 ; Miyazawa et al, 2011 ).…”