Departmental Papers (CIS)

Date of this Version

3-2010

Document Type

Conference Paper

Comments

Suggested Citation:
Yuan, J. and M. Libman. (2010). Robust Speaking Rate Estimation Using Broad Phonetic Class Recognition. 2010 International Conference on Acoustics, Speech and Signal Processing. Dallas, Texas. March 14-19, 2010.

©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Abstract

Robust speaking rate estimation can be useful in automatic speech recognition and speaker identification, and accurate, automatic measures of speaking rate are also relevant for research in linguistics, psychology, and social sciences. In this study we built a broad phonetic class recognizer for speaking rate estimation. We tested the recognizer on a variety of data sets, including laboratory speech, telephone conversations, foreign accented speech, and speech in different languages, and we found that the recognizer’s estimates are robust under these sources of variation. We also found that the acoustic models of the broad phonetic classes are more robust than those of the monophones for syllable detection.

Keywords

Speaking rate estimation, syllable detection, robustness, broad phonetic class

Share

COinS
 

Date Posted: 12 October 2010

This document has been peer reviewed.