Paper: Detecting Pitch Accents at the Word Syllable and Vowel Level

ACL ID N09-2021
Title Detecting Pitch Accents at the Word Syllable and Vowel Level
Venue Human Language Technologies
Session Short Paper
Year 2009
Authors

The automatic identification of prosodic events such as pitch accent in English has long been a topic of interest to speech researchers, with applications to a variety of spoken lan- guage processing tasks. However, much re- mains to be understood about the best meth- ods for obtaining high accuracy detection. We describe experiments examining the optimal domain for accent analysis. Specifically, we compare pitch accent identification at the syl- lable, vowel or word level as domains for anal- ysis of acoustic indicators of accent. Our re- sults indicate that a word-based approach is superior to syllable- or vowel-based detection, achieving an accuracy of 84.2%.