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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 41 – 46 of 46 41 Example for synthesized noise at 500 mW ... Birkholz, Peter; Kürbis, Steffen; Stone, Simon. - : figshare, 2020 BASE Show details 42 Example for metadata of vocal tract noise measurements ... Birkholz, Peter; Kürbis, Steffen; Stone, Simon. - : figshare, 2020 BASE Show details 43 Example for synthesized vowel sound ... Birkholz, Peter; Kürbis, Steffen; Stone, Simon. - : figshare, 2020 BASE Show details 44 Example for 3D printable right half of the vocal tract ... Birkholz, Peter; Kürbis, Steffen; Stone, Simon. - : figshare, 2020 BASE Show details 45 Printable 3D vocal tract shapes from MRI data and their acoustic and aerodynamic properties ... Birkholz, Peter; Kürbis, Steffen; Stone, Simon; Häsner, Patrick; Blandin, Rémi; Fleischer, Mario. - : figshare, 2020 Abstract: A detailed understanding of how the acoustic patterns of speech sounds are generated by the complex 3D shapes of the vocal tract is a major goal in speech research. The Dresden Vocal Tract Dataset (DVTD) presented here contains geometric and (aero)acoustic data of the vocal tract of 22 German speech sounds (16 vowels, 5 fricatives, 1 lateral), each from one male and one female speaker. The data include the 3D Magnetic Resonance Imaging data of the vocal tracts, the corresponding 3D-printable and finite-element models, and their simulated and measured acoustic and aerodynamic properties. The dataset was evaluated in terms of the plausibility and the similarity of the resonance frequencies determined by the acoustic simulations and measurements, and in terms of the human identification rate of the vowels and fricatives synthesized by the artificially excited 3D-printed vocal tract models. According to both the acoustic and perceptual metrics, most models are accurate representations of the intended speech ... Keyword: 170204 Linguistic Processes incl. Speech Production and Comprehension; 20301 Acoustics and Acoustical Devices; Waves; 80106 Image Processing; 80110 Simulation and Modelling; 90101 Aerodynamics excl. Hypersonic Aerodynamics; 91301 Acoustics and Noise Control excl. Architectural Acoustics; 91508 Turbulent Flows; Artificial Intelligence and Image Processing; FOS Computer and information sciences; FOS Mechanical engineering; FOS Other engineering and technologies; FOS Physical sciences; FOS Psychology URL: https://dx.doi.org/10.6084/m9.figshare.c.4869732.v1 https://springernature.figshare.com/collections/Printable_3D_vocal_tract_shapes_from_MRI_data_and_their_acoustic_and_aerodynamic_properties/4869732/1 BASE Hide details 46 Printable 3D vocal tract shapes from MRI data and their acoustic and aerodynamic properties ... Birkholz, Peter; Kürbis, Steffen; Stone, Simon. - : figshare, 2020 BASE Show details Page: 1 2 3

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