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

Caballero Morales, Omar and Cox, Stephen (2008) Application of Weighted Finite-State Transducers to Improve Recognition Accuracy for Dysarthric Speech. In: 9th Annual Conference of the International Speech Communication Association (INTERSPEECH), 2008-09-22 - 2008-09-26.

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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.

Item Type:	Conference or Workshop Item (Paper)
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Interactive Graphics and Audio Faculty of Science > Research Groups > Smart Emerging Technologies
Depositing User:	Nicola Talbot
Date Deposited:	14 Mar 2011 08:57
Last Modified:	22 Apr 2023 02:44
URI:	https://ueaeprints.uea.ac.uk/id/eprint/26020
DOI:

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