A novel approach to inferring letter-phoneme correspondences

Wing Pong Robert Luk, Robert I. Damper

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

An inference algorithm to obtain letter-phoneme correspondences for English using image-processing techniques is described. The main idea of the inference algorithm is to construct a table of association indices. The table is regarded as an image and image-processing algorithms are used to derive letter-phoneme correspondences. The advantages of the technique are that the association index has a theoretical basis in terms of modeling spelling and pronunciation as a homogenous Markov chain, computational demand is low, and the inference process is not dependent on the ordering of the sample. The authors have implemented both a thresholding and a minimum spanning tree technique to derive correspondences. Illustrative examples are given for each technique.
Original languageEnglish
Title of host publicationProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
PublisherPubl by IEEE
Pages741-744
Number of pages4
Volume2
ISBN (Print)078030033
Publication statusPublished - 1 Dec 1991
EventProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Canada
Duration: 14 May 199117 May 1991

Conference

ConferenceProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
CountryCanada
CityToronto, Ont
Period14/05/9117/05/91

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

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