This dataset contains Stereo-Lithographic (STL) surface models of a human vocal tract, derived Finite-Element-Models, numerical results, and scripts for analyzing these results and (re-)running the computation. In the main folder, this dataset contains: 1) Python files (*fig*.py) for the creation of figures and tables (*tab*.py) 2) Python files (*.py) for analyzing Finite-Element (FE) calculations (x_resonances.py, x_libs.py, x_fem2excel.py) 3) Python-files (*.py) for analyzing stl-data (x_analyzeSTL.py) 4) Python files (*.py) for deriving Infinite-Impulse-Response (IIR) filter and their impulse responses (x_IIR.py) 5) Excel files (*.xlsx) containing Volume-velocity-transfer-functions (Vlg.xlsx), Pressure-transfer-functions at the lips (Hlg.xlsx), and the glottis (Hgg.xlsx) based on FE, the sound spectra of audio signals (sound_spectra.xlsx), the polynomials describing the IIR (IIR_polynomial.xlsx) and their impulse responses (IIR_impulse_responses.xlsx), and glottal waveforms (glottal_waveform.xlsx) and spectra (glottal_spectra.xlsx) 6) Several figures (*.pdf) In folder „x_fenics/x_Subject-1“ (and sub-folders), this data set contains: 1) Surface models of the human vocal tract for different voice qualities (glottis.stl, wall.stl, lips.stl) 2) Sub-volumes of the vocal tract cavities (*ET.stl, *HPl.stl, *HPu.stl, *OPf.stl, *OPr.stl, *SP.stl, *.VV.stl) 3) Derived gmsh volume meshes (*.msh) (www.gmsh.info) 3) Derived volume models applicable to FE-Solvers (*.h5, *.xdmf) 4) Results of the FE-calculation (*pvtf*.txt, *vvtf*.txt, *pglottis*.txt) 5) Formant frequencies computed by inverse filtering (*.for) In folder „x_fenics/x_misc“ the data set contains: 1) Python-files (*.py) for (re-)running the calculations using the FE-Method

please also cite: Fleischer M, Rummel S, Stritt F, Fischer J, Bock M, Echternach M, Richter B and Traser L (2022), Voice efficiency for different voice qualities combining experimentally derived sound signals and numerical modeling of the vocal tract. Front. Physiol. 13:1081622. doi: 10.3389/fphys.2022.1081622