Articulatory-to-acoustic mapping for inverse problem

Sorkin, V. N.; Trushkin, A.

doi:10.1016/0167-6393(96)00028-3

Cited by 8 publications

(2 citation statements)

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“…Charpentier [7], Sorokin [8] or Ouni [9] use first-order polynomial interpolation which they describe as local linear functions, or piece-wise linear functions in the case of Sorokin. Charpentier uses an interesting method, in which the articulatory space is subdivided according to the curvature of the acoustic images along specific articulatory trajectories, the points of highest curvature defining reference points, and the rest of the articulatory space being interpolated using the Jacobian matrix around these references points.…”

Section: Hypercuboid Structurementioning

confidence: 99%

Compact representations of the articulatory-to-acoustic mapping

Potard¹,

Laprie²

2007

Interspeech 2007

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Articulatory codebooks are very often used to represent the articulatory-to-acoustic mapping. They thus need to be compact while offering a very good acoustic precision. This paper presents a method of articulatory codebook construction more general than that of Ouni [1] in the sense that the articulatoryto-acoustic mapping is approximated by multivariable polynomials. The second major contribution concerns the subdivision process which finds out the most efficient subdivision, i.e. that which minimizes the size of the codebook while guarantying a very good acoustic precision.Experiments carried out show that the size of the codebook can be divided by a factor of 20, and simultaneously, the acoustic precision can improved by a factor of 2 by using second order polynomials together with this new construction strategy.

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Section: Hypercuboid Structurementioning

confidence: 99%

Compact representations of the articulatory-to-acoustic mapping

Potard¹,

Laprie²

2007

Interspeech 2007

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“…Genetic algorithms that do not use a codebook have also been used. 24 VT outlines estimated by inversion for static vowels and fricatives have been compared against XRMB measurements of gold pellets placed on the tongue, 18,25 and VT outlines estimated for static vowels have been compared against real VT shapes from the x-ray images. 26 Simultaneously recorded articulatory and acoustic data that are publicly available include the XRMB speech production database from the University of Wisconsin, Madison, 27 and the Edinburgh multi-channel articulatory (MOCHA) database.…”

Section: Introduction and Review Of Previous Workmentioning

confidence: 99%

A study of acoustic-to-articulatory inversion of speech by analysis-by-synthesis using chain matrices and the Maeda articulatory model

Panchapagesan

Alwan

2011

The Journal of the Acoustical Society of America

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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.

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