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An automatic speech recognition system using neural networks and linear dynamic models to recover and model articulatory traces

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

Original languageEnglish
Title of host publicationSixth International Conference on Spoken Language Processing (ICSLP 2000)
PublisherInternational Speech Communication Association
Pages254-257
Number of pages4
ISBN (Print)ISSN: 1990-9772
Publication statusPublished - Oct 2000

Abstract

In this paper we describe a speech recognition system using linear dynamic models and articulatory features. Experiments are reported in which measured articulation from the MOCHA corpus has been used, along with those where the articulatory parameters are estimated from the speech signal using a recurrent neural network.

ID: 2077326