Sixth International Conference on Spoken Language Processing
(ICSLP 2000)

Beijing, China
October 16-20, 2000

Continuous Speech Recognition Using Articulatory Data

Alan A. Wrench, Korin Richmond

Department of Speech and Language Sciences, Queen Margaret University College, Edinburgh, UK, and CSTR, University of Edinburgh, UK

In this paper we show that there is measurable information in the articulatory system which can help to disambiguate the acoustic signal. We measure directly the movement of the lips, tongue, jaw, velum and larynx and parameterise this articulatory feature space using principal components analysis. The parameterisation is developed and evaluated using a speaker dependent phone recognition task on a specially recorded TIMIT corpus of 460 sentences. The results show that there is useful supplementary information contained in the articulatory data which yields a small but significant improvement in phone recognition accuracy of 2%. However, preliminary attempts to estimate the articulatory data from the acoustic signal and use this to supplement the acoustic input have not yielded any significant improvement in phone accuracy.

Full Paper

Bibliographic reference.  Wrench, Alan A. / Richmond, Korin (2000): "Continuous speech recognition using articulatory data", In ICSLP-2000, vol.4, 145-148.