Format

Send to

Choose Destination
J Acoust Soc Am. 2013 Aug;134(2):1378-94. doi: 10.1121/1.4812765.

Spatio-temporal articulatory movement primitives during speech production: extraction, interpretation, and validation.

Author information

1
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, California 90089, USA. vramanar@usc.edu

Abstract

This paper presents a computational approach to derive interpretable movement primitives from speech articulation data. It puts forth a convolutive Nonnegative Matrix Factorization algorithm with sparseness constraints (cNMFsc) to decompose a given data matrix into a set of spatiotemporal basis sequences and an activation matrix. The algorithm optimizes a cost function that trades off the mismatch between the proposed model and the input data against the number of primitives that are active at any given instant. The method is applied to both measured articulatory data obtained through electromagnetic articulography as well as synthetic data generated using an articulatory synthesizer. The paper then describes how to evaluate the algorithm performance quantitatively and further performs a qualitative assessment of the algorithm's ability to recover compositional structure from data. This is done using pseudo ground-truth primitives generated by the articulatory synthesizer based on an Articulatory Phonology frame-work [Browman and Goldstein (1995). "Dynamics and articulatory phonology," in Mind as motion: Explorations in the dynamics of cognition, edited by R. F. Port and T.van Gelder (MIT Press, Cambridge, MA), pp. 175-194]. The results suggest that the proposed algorithm extracts movement primitives from human speech production data that are linguistically interpretable. Such a framework might aid the understanding of longstanding issues in speech production such as motor control and coarticulation.

PMID:
23927134
PMCID:
PMC3745549
DOI:
10.1121/1.4812765
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for American Institute of Physics Icon for PubMed Central
Loading ...
Support Center