Literature DB >> 4833700

Model for wave propagation in a lossy vocal tract.

M M Sondhi.   

Abstract

Mesh：

Year:  1974        PMID： 4833700     DOI： 10.1121/1.1914649

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN： 0001-4966            Impact factor:   1.840


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  7 in total

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

Authors:  Sankaran Panchapagesan; Abeer Alwan
Journal:  J Acoust Soc Am       Date:  2011-04       Impact factor: 1.840

2.  Subglottal Impedance-Based Inverse Filtering of Voiced Sounds Using Neck Surface Acceleration.

Authors:  Matías Zañartu; Julio C Ho; Daryush D Mehta; Robert E Hillman; George R Wodicka
Journal:  IEEE Trans Audio Speech Lang Process       Date:  2013-09

3.  [Diagnosis of dysfunction of the voice (author's transl)].

Authors:  H J Schultz-Coulon
Journal:  Arch Otorhinolaryngol       Date:  1980

Review 4.  Acoustic analysis of infantile stridor: a review.

Authors:  M Malone; N D Black; M Lydon; M Cinnamond
Journal:  Med Biol Eng Comput       Date:  1993-03       Impact factor: 2.602

5.  Effects of sampling rate and type of anti-aliasing filter on linear-predictive estimates of formant frequencies in men, women, and children.

Authors:  Paul H Milenkovic; Madison Wagner; Raymond D Kent; Brad H Story; Houri K Vorperian
Journal:  J Acoust Soc Am       Date:  2020-03       Impact factor: 1.840

6.  Formant frequencies and bandwidths of the vocal tract transfer function are affected by the mechanical impedance of the vocal tract wall.

Authors:  Mario Fleischer; Silke Pinkert; Willy Mattheus; Alexander Mainka; Dirk Mürbe
Journal:  Biomech Model Mechanobiol       Date:  2014-11-23

7.  Printable 3D vocal tract shapes from MRI data and their acoustic and aerodynamic properties.

Authors:  Peter Birkholz; Steffen Kürbis; Simon Stone; Patrick Häsner; Rémi Blandin; Mario Fleischer
Journal:  Sci Data       Date:  2020-08-05       Impact factor: 6.444
  7 in total

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