2017
DOI: 10.1016/j.csl.2017.01.004
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Toward a format-neutral annotation store

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Cited by 6 publications
(3 citation statements)
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“…The data were orthographically transcribed in ELAN (version 6.5; ELAN, 2023; Lausberg & Sloetjes, 2009) and time-aligned using LaBB-CAT (Fromont & Hay, 2012). All candidate tokens of (ing) were tagged in LaBB-CAT using regular expressions.…”
Section: Methodsmentioning
confidence: 99%
“…The data were orthographically transcribed in ELAN (version 6.5; ELAN, 2023; Lausberg & Sloetjes, 2009) and time-aligned using LaBB-CAT (Fromont & Hay, 2012). All candidate tokens of (ing) were tagged in LaBB-CAT using regular expressions.…”
Section: Methodsmentioning
confidence: 99%
“…The second step of data preparation was to automatically segment the speech signal using the HTK toolkit (Young et al 2006) via its implementation in LaBB-CAT (Fromont & Hay 2012). Time-aligned segmentations were exported as Praat Textgrids (Boersma & Weenink 2014) and manually checked for the correct alignment of the acoustic duration of the /ɹ/ gestures using the formant-tracking function, with special attention paid to the characteristic lowering of the third formant; note, however, that this was sometimes impossible due to insufficient audio quality.…”
Section: Methodsmentioning
confidence: 99%
“…Although studies comparing different forced aligners are limited, conclusions drawn from major world language data may be useful for low-resource language work. González et al (2018a) compared MFA with LaBB-CAT (Fromont & Hay 2012), FAVE, and MAUS on English data, and found that MFA gave the most accurate boundaries.…”
Section: Nlp For Annotationmentioning
confidence: 99%