13th Annual Conference of the International Speech Communication Association

Portland, OR, USA
September 9-13, 2012

Automatic Measurement of Positive and Negative Voice Onset Time

Katharine Henry (1), Morgan Sonderegger (1), Joseph Keshet (2)

(1) University of Chicago, Chicago, IL, USA; (2) TTI-Chicago, Chicago, IL, USA

Previous work on automatic VOT measurement has focused on positive-valued VOT. However, in many languages VOT can be either positive or negative (“prevoiced”). We present a discriminative algorithm that simultaneously decides whether a stop is prevoiced and measures its VOT. The algorithm operates on feature functions designed to locate the burst and voicing onsets in the positive and negative VOT cases. Tested on a database of positive- and negative-VOT voiced stops, the algorithm predicts prevoicing with >90% accuracy, and gives good agreement between automatic and manual measurements.

Index Terms: voice onset time, automatic phonetic measurement, discriminative methods, structured prediction

Full Paper

Bibliographic reference.  Henry, Katharine / Sonderegger, Morgan / Keshet, Joseph (2012): "Automatic measurement of positive and negative voice onset time", In INTERSPEECH-2012, 871-874.