Automatic labeling of prosodic patterns

Author

Wightman, Colin W. ; Ostendorf, Mari

Author_Institution

Dept. of Electr. Eng., New Mexico Inst. of Min. & Technol., Socorro, NM, USA

Volume

2

Issue

4

fYear

1994

fDate

10/1/1994 12:00:00 AM

Firstpage

469

Lastpage

481

Abstract

This paper describes a general algorithm for labeling prosodic patterns in speech, which provides a mechanism for mapping sequences of observations (vectors of acoustic correlates) to prosodic labels using decision trees and a Markov sequence model. Important and novel features of the approach are that it allows many dissimilar correlates to be treated in a unified manner to provide more robust labeling, and that it is designed to be a post-word-recognition processing step. Application of the algorithm is illustrated with experimental results for labeling prosodic phrasing and phrasal prominence in two corpora of professionally read speech. The labels produced by the automatic algorithm exhibit agreement with hand-labeled prominence and phrasing that is close to the agreement between different human labelers

Keywords

Markov processes; decision theory; speech analysis and processing; speech recognition; Markov sequence model; acoustic correlates; automatic algorithm; automatic labeling; corpora; decision trees; experimental results; phrasal prominence; post-word-recognition processing; prosodic labels; prosodic patterns; prosodic phrasing; robust labeling; speech patterns; vectors; Decision trees; Face; Frequency; Humans; Labeling; Natural languages; Robustness; Speech analysis; Timing; Vegetation mapping;

fLanguage

English

Journal_Title

Speech and Audio Processing, IEEE Transactions on

Publisher

ieee

ISSN

1063-6676

Type

jour

DOI

10.1109/89.326607

Filename

326607