@inproceedings{e06a5d6fa070427fb8170fcba25fdf26,
title = "ProTK: An improved prosody toolkit",
abstract = "We present an improvement to our previous work to create a toolkit for integrating automated speech recognition, prosodic feature analysis, and machine learning to create models for identifying and classifying speech characteristics such as filled pauses. The toolkit provides a modular and extensible platform for intaking, analyzing, and formatting data for use in a wide variety of other tools.",
keywords = "Machine learning, Prosody, Speech recognition, Toolkit",
author = "Jacob Okamoto and Pakhomov, {Serguei V} and Elizabeth Shriberg and Andreas Stolcke",
year = "2012",
language = "English (US)",
isbn = "9781622767595",
series = "13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012",
pages = "1890--1891",
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",
}