title: A study of acoustic-to-articulatory inversion of speech by analysis-by-synthesis using chain matrices and the Maeda articulatory model.
abstract: In this paper, a quantitative study of acoustic-to-articulatory inversion for vowel speech sounds by analysis-by-synthesis using the Maeda articulatory model is performed. For chain matrix calculation of vocal tract (VT) acoustics, the chain matrix derivatives with respect to area function are calculated and used in a quasi-Newton method for optimizing articulatory trajectories. The cost function includes a distance measure between natural and synthesized first three formants, and parameter regularization and continuity terms. Calibration of the Maeda model to two speakers, one male and one female, from the University of Wisconsin x-ray microbeam (XRMB) database, using a cost function, is discussed. Model adaptation includes scaling the overall VT and the pharyngeal region and modifying the outer VT outline using measured palate and pharyngeal traces. The inversion optimization is initialized by a fast search of an articulatory codebook, which was pruned using XRMB data to improve inversion results. Good agreement between estimated midsagittal VT outlines and measured XRMB tongue pellet positions was achieved for several vowels and diphthongs for the male speaker, with average pellet-VT outline distances around 0.15 cm, smooth articulatory trajectories, and less than 1% average error in the first three formants.
authors.affiliation: Department of Electrical Engineering, University of California, Los Angeles, California 90095, USA. panchap@ee.ucla.edu
authors.forename: Sankaran
authors.initials: S
authors.lastname: Panchapagesan
authors.forename: Abeer
authors.initials: A
authors.lastname: Alwan
mesh_terms: D000162:Acoustics; D002138:Calibration; D005260:Female; D006801:Humans; D008297:Male; D008390:Markov Chains; D008954:Models, Biological; D013060:Speech / Q000502:physiology*; D013061:Speech Acoustics; D013065:Speech Intelligibility / Q000502:physiology*; D049250:Speech Recognition Software; D014827:Vocal Cords / Q000502:physiology