@inproceedings{2184fede6e304c8d8d18df17a79dd617,
title = "Automatic detection of syllabic nuclei using acoustic measures",
abstract = "This paper describes a method for detecting syllabic nuclei from English utterances on a frame-by-frame basis using bandpass-filtered acoustic energy measurements. No knowledge of the utterance's phonetic composition is used. In the training phase, phones in English utterances read by a female speaker were assigned rank-ordered sonority values. These sonority values were predicted using multiple linear regression where the predictor variables were bandpass-filtered acoustic energy values at the phone's central region. Results show that (1) syllabic nuclei are identified at over 60 percent accuracy, and (2) speech rate, defined as syllabic nuclei per unit time, is estimated at over 80 percent accuracy.",
keywords = "sonority, speech energy, speech rate, syllabic nuclei",
author = "G. Kawai and {Van Santen}, J.",
note = "Funding Information: This research was conducted with support from NSF grants 0117911 {"}Making Dysarthric Speech Intelligible{"} and 0082718 {"}Modeling Degree of Articulation for Speech Synthesis{"}, as well as support from Intel and NTT. Publisher Copyright: {\textcopyright} 2002 IEEE.; 2002 IEEE Workshop on Speech Synthesis ; Conference date: 11-09-2002 Through 13-09-2002",
year = "2002",
doi = "10.1109/WSS.2002.1224368",
language = "English (US)",
series = "Proceedings of 2002 IEEE Workshop on Speech Synthesis",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "39--42",
booktitle = "Proceedings of 2002 IEEE Workshop on Speech Synthesis",
}