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Voice onset time (VOT) is an acoustic property of speech that is able to reveal a lot of information about a speaker’s linguistic experience(s). Analyzing VOT helps us in (a) developing linguistic theories of language representation and (b) assessing a language learner’s approximation to phonetic norms in the target language.

In this online presentation, Ernesto GutiĆ©rrez Topete will present a computational tool (a Python program) that can be used to analyze a speaker’s VOT productions for the purposes of linguistic research or instructional student support. This presentation will cover installation and usage instructions and will provide a live demonstration of how to use the tool. There will be time for Q&A at the end of the presentation.

The presentation is part of the Programming Essentials for Studies in Human Language & Technology series at the Center for Language & Technology.


VOT-CP: A Python program for automatic data codification and calculation of voice onset time

Ernesto GutiƩrrez Topete (Ph.D. Candidate in Hispanic Linguistics), University of California, Berkeley


6 PM Eastern Standard Time 6:30 PM Eastern Standard Time
Applicable Language
All Languages
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Open to the public through access url
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Center for Language & Technology & Language Flagship Technology Innovation Center
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Published July 19, 2021 by Center for Language and Technology • Updated September 28, 2021