10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

Estimation of Articulatory Gesture Patterns from Speech Acoustics

Prasanta Kumar Ghosh (1), Shrikanth S. Narayanan (1), Pierre Divenyi (2), Louis Goldstein (1), Elliot Saltzman (3)

(1) University of Southern California, USA
(3) Haskins Laboratories, USA

We investigated dynamic programming (DP) and state-model (SM) approaches for estimating gestural scores from speech acoustics. We performed a word-identification task using the gestural pattern vector sequences estimated by each approach. For a set of 75 randomly chosen words, we obtained the best word-identification accuracy (66.67%) using the DP approach. This result implies that considerable support for lexical access during speech perception might be provided by such a method of recovering gestural information from acoustics.

Full Paper

Bibliographic reference.  Ghosh, Prasanta Kumar / Narayanan, Shrikanth S. / Divenyi, Pierre / Goldstein, Louis / Saltzman, Elliot (2009): "Estimation of articulatory gesture patterns from speech acoustics", In INTERSPEECH-2009, 2803-2806.