Inference of letter-phoneme correspondences with pre-defined consonant and vowel patterns

Wing Pong Robert Luk, Robert I. Damper

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

5 Citations (Scopus)

Abstract

This paper describes the automatic inferencing of letter-phoneme correspondences with pre-defined consonant and vowel patterns, which imply a segmentation of the word in one domain. The technique obtains the maximum likelihood (ML) alignment of the training word, and correspondences are found according to where the segmentation projects onto the ML alignment. Here, the phoneme strings were segmented depending on the number of consonant phonemes preceding or following the vowel phoneme. Sets of correspondences were evaluated according to the performance obtained when they were used for text-phonemic alignment and translation. The number of correspondences inferred was too large to evaluate using Markov statistics. Instead, hidden Markov statistics were used where the storage demand is further reduced by a recoding technique. Performance improves significantly as the number of consonants included in the pattern increases. Further, the performance of correspondences with pre-defined V.C* patterns was consistently better than those with C*.V patterns.
Original languageEnglish
Title of host publicationSpeech Processing
PublisherPubl by IEEE
Volume2
ISBN (Print)0780309464
Publication statusPublished - 1 Jan 1993
Externally publishedYes
Event1993 IEEE International Conference on Acoustics, Speech and Signal Processing - Minneapolis, MN, United States
Duration: 27 Apr 199330 Apr 1993

Conference

Conference1993 IEEE International Conference on Acoustics, Speech and Signal Processing
Country/TerritoryUnited States
CityMinneapolis, MN
Period27/04/9330/04/93

ASJC Scopus subject areas

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

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