Skip to main content
Article thumbnail
Location of Repository

Tone Recognition in Mandarin using Focus

By et al. Dinoj Surendran

Abstract

Native speakers of Mandarin produce and perceive tones in ways that depend on the focus with which each word is produced [1]. This paper gives one approach to improving tone recognition algorithms using focus, by training different support vector machines on syllables conditional on their position with respect to the focused word in a sentence. In a four-way tone classification task on focus-labelled laboratory Mandarin speech data collected by Xu [2], error rates improve from 15.2% without using focus to 8.7 % when using focus. Using the fact that tones on syllables in focused words are especially easy to recognize, we propose a tone recognition algorithm that makes use of focus without requiring focus labels in either training or test set. The algorithm has an error rate of 9.8 % on this data set

Year: 2005
OAI identifier: oai:CiteSeerX.psu:10.1.1.135.4052
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.cs.uchicago.edu/~di... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.