Simulating articulatory trajectories with phonological feature interpolation - Laboratoire d'Informatique et Systèmes
Communication Dans Un Congrès Année : 2024

Simulating articulatory trajectories with phonological feature interpolation

Résumé

As a first step towards a complete computational model of speech learning involving perception-production loops, we investigate the forward mapping between pseudo-motor commands and articulatory trajectories. Two phonological feature sets, based respectively on generative and articulatory phonology, are used to encode a phonetic target sequence. Different interpolation techniques are compared to generate smooth trajectories in these feature spaces, with a potential optimisation of the target value and timing to capture co-articulation effects. We report the Pearson correlation between a linear projection of the generated trajectories and articulatory data derived from a multi-speaker dataset of electromagnetic articulography (EMA) recordings. A correlation of 0.67 is obtained with an extended feature set based on generative phonology and a linear interpolation technique. We discuss the implications of our results for our understanding of the dynamics of biological motion.
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hal-04699949 , version 1 (17-09-2024)

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Angelo Ortiz Tandazo, Thomas Schatz, Thomas Hueber, Emmanuel Dupoux. Simulating articulatory trajectories with phonological feature interpolation. Interspeech 2024 - 25th Annual Conference of the International Speech Communication Association, ISCA, Sep 2024, Kos, Greece. pp.3595 - 3599, ⟨10.21437/interspeech.2024-2192⟩. ⟨hal-04699949⟩
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