Unsupervised pronunciation grammar growing using knowledge-based and data-driven approaches

Chien Lin Huang, Chung Hsien Wu, Haizhou Li, Chia Hsin Hsieh, Bin Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study presents a novel approach to unsupervised pronunciation grammar growing for non-native speech recognition. Unsupervised pronunciation grammar growing includes pronunciation variation graph construction and non-native grammar generation. Knowledge-based and data-driven approaches are considered for variation graph construction. The measurement of confidence and support is used for grammar selection. Experiments show that unsupervised pronunciation grammar growing is suitable for the improvement of non-native speech recognition.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
Pages1097-1100
Number of pages4
DOIs
Publication statusPublished - 2008 Oct 23
Event2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Hannover, Germany
Duration: 2008 Jun 232008 Jun 26

Publication series

Name2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings

Other

Other2008 IEEE International Conference on Multimedia and Expo, ICME 2008
CountryGermany
CityHannover
Period08-06-2308-06-26

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering

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