Speech recognition via phonetically-featured syllables

S. King, Paul Taylor, J. Frankel, K. Richmond

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

Abstract / Description of output

We describe recent work on two new automatic speech recognition systems. The first part of this paper describes the components of a system based on phonological features (which we call EspressoA) in which the values of these features are estimated from the speech signal before being used as the basis for recognition. In the second part of the paper, another system (which we call EspressoB) is described in which articulatory parameters are used instead of phonological features and a linear dynamical system model is used to perform recognition from automatically estimated values of these articulatory parameters.
Original languageEnglish
Title of host publicationPHONUS 5
Subtitle of host publicationProceedings of the Workshop on "Phonetics and Phonology in ASR. Parameters and Features, and their Implications"
EditorsW. J. Barry, J Koreman
Place of PublicationSaarbruken
PublisherInstitute of Phonetics
Number of pages20
Publication statusPublished - 2000


Dive into the research topics of 'Speech recognition via phonetically-featured syllables'. Together they form a unique fingerprint.

Cite this