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A model particle system of alumina (host particle) and polystyrene (guest particle) is processed using mechano-fusion. Samples from three experiments with different process parameters (rotational speed and process time) are characterized concerning the resulting coating structures of guest particles on the surface of the host particle. Therefore, particle samples are prepared for a qualitative SEM analysis and quantiative micro-CT analysis. From the 3D micro-CT data, the structural descriptors coating thickness, coating efficiency and neighbooring behavior of the guest particles are quantified. The influence of the process parameters on the coating structures is discussed.
Articulatory synthesis is a useful tool to explore the relationship between the speech production and perception processes. However, including the high frequencies (above about 5 kHz) requires a three-dimensional (3D) acoustical model for realistic simulations. In this frequency range, one-dimensional (1D) acoustic models fail to predict additional resonances and anti-resonances related to the 3D properties of the acoustic field. While articulatory synthesis based on 3D acoustic models is nowadays achievable for isolated phonemes, the impact of such models on the perception by human listeners remains largely unknown. In this study, it was first examined whether the high-frequency part of stimuli generated with 1D and 3D acoustic models can be differentiated in a pair comparison task. The results show that such differences can be discriminated, which is in line with recent findings showing that purely spectral cues can contribute to the perception of speech at high frequencies. A second perceptual experiment that consisted in rating the naturalness of the stimuli on a four-level Likert scale did not show any significant effect of the acoustic model. However, it highlighted differences of naturalness between the synthesized phonemes.
This collection contains the supplementary material related to the study "Perceptual evaluation of broadband physics-based speech sound synthesis with a 1D versus a 3D acoustic model"