Academic Journal

Simulating articulatory trajectories with phonological feature interpolation

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Simulating articulatory trajectories with phonological feature interpolation
Συγγραφείς: Ortiz Tandazo, Angelo, Schatz, Thomas, Hueber, Thomas, Dupoux, Emmanuel
Συνεισφορές: ORTIZ TANDAZO, Angelo
Πηγή: Interspeech 2024. :3595-3599
Publication Status: Preprint
Στοιχεία εκδότη: ISCA, 2024.
Έτος έκδοσης: 2024
Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Computation and Language, speech production, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Audio and Speech Processing (eess.AS), computational modelling, FOS: Electrical engineering, electronic engineering, information engineering, articulatory-to-acoustic mapping, phonological features, Computation and Language (cs.CL), [INFO.INFO-SD] Computer Science [cs]/Sound [cs.SD], Electrical Engineering and Systems Science - Audio and Speech Processing
Περιγραφή: 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.
accepted at Interspeech 2024
Τύπος εγγράφου: Article
Conference object
Περιγραφή αρχείου: application/pdf
DOI: 10.21437/interspeech.2024-2192
DOI: 10.48550/arxiv.2408.04363
Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2408.04363
https://hal.science/hal-04699949v1/document
https://hal.science/hal-04699949v1
https://doi.org/10.21437/interspeech.2024-2192
Rights: CC BY
Αριθμός Καταχώρησης: edsair.doi.dedup.....a892ea5eba6c41ea85178657f3d3ce9b
Βάση Δεδομένων: OpenAIRE
Περιγραφή
DOI:10.21437/interspeech.2024-2192