Application of Weighted Finite-State Transducers to Improve Recognition Accuracy for Dysarthric Speech

Omar Caballero Morales, Stephen Cox

Research output: Contribution to conferencePaper

6 Citations (Scopus)

Abstract

Standard speaker adaptation algorithms perform poorly on dysarthric speech because of the limited phonemic repertoire of dysarthric speakers. In a previous paper, we proposed the use of "metamodels" to correct dysarthric speech. Here, we report on an improved technique that makes use of a cascade of Weighted Finite-State Transducers (WFSTs) at the confusion-matrix, word and language levels. This approach outperforms both standard MLLR and metamodels.
Original languageEnglish
Pages1761-1764
Number of pages4
Publication statusPublished - Sep 2008
Event9th Annual Conference of the International Speech Communication Association (INTERSPEECH) - Brisbane, Australia
Duration: 22 Sep 200826 Sep 2008

Conference

Conference9th Annual Conference of the International Speech Communication Association (INTERSPEECH)
CountryAustralia
CityBrisbane
Period22/09/0826/09/08

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