Automatic measurement of positive and negative voice onset time

Katharine Henry; Morgan Sonderegger; Joseph Keshet

Automatic measurement of positive and negative voice onset time

Katharine Henry, Morgan Sonderegger, Joseph Keshet

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

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.

Original language	English
Title of host publication	13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
Pages	870-873
Number of pages	4
State	Published - 2012
Externally published	Yes
Event	13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012 - Portland, OR, United States Duration: 9 Sep 2012 → 13 Sep 2012

Publication series

Name	13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
Volume	1

Conference

Conference	13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
Country/Territory	United States
City	Portland, OR
Period	9/09/12 → 13/09/12

Keywords

Automatic phonetic measurement
Discriminative methods
Structured prediction
Voice onset time

Cite this

@inproceedings{dbbee75199d14895a4079a403dbc0cd8,

title = "Automatic measurement of positive and negative voice onset time",

abstract = "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.",

keywords = "Automatic phonetic measurement, Discriminative methods, Structured prediction, Voice onset time",

author = "Katharine Henry and Morgan Sonderegger and Joseph Keshet",

year = "2012",

language = "אנגלית",

isbn = "9781622767595",

series = "13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012",

pages = "870--873",

booktitle = "13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012",

note = "13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012 ; Conference date: 09-09-2012 Through 13-09-2012",

}

Henry, K, Sonderegger, M & Keshet, J 2012, Automatic measurement of positive and negative voice onset time. in 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012. 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, vol. 1, pp. 870-873, 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, Portland, OR, United States, 9/09/12.

Automatic measurement of positive and negative voice onset time. / Henry, Katharine; Sonderegger, Morgan; Keshet, Joseph.
13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012. 2012. p. 870-873 (13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Sonderegger, Morgan

AU - Keshet, Joseph

PY - 2012

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KW - Discriminative methods

KW - Structured prediction

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ER -

Automatic measurement of positive and negative voice onset time

Abstract

Publication series

Conference

Keywords

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