“…Also, as creak is known to be frequently produced during hesitations (Carlson et al, 2006) its detection could also be used to identify hesitations which could, in turn, be used for distinguishing speaking styles or, for instance, providing feedback on presentation skills. The robust automatic detection of creak would be beneficial for sociological studies (e.g., Wolk and Abdelli-Beruh, 2012) and studies on tonal patterns (Yu and Lam, 2011) in terms of allowing quantitative analysis on larger volumes of data. Furthermore, as studies have shown listeners to be sensitive to creak in terms of recognition of the speaker's identity (Böhm and Shattuck-Hufnagel, 2007), the detection of creak can be exploited for improving speaker recognition systems Elliot, 2002).…”