KUGscholar (University of Music and Performing Arts Graz)
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WITH: The significance of a preposition in music and practice.
This lecture was held by Dr. Palme at the eavesdropping symposium London via video, on 24 April 2021.
See under https://www.eavesdropping.london/archive-1/
The video is available at eavesdropping’s Youtube channel under https://www.youtube.com/watch?v=dCp-svAWLoQ&list=PLKJZW80XhDWaG4bQndxZy0jon6K47tEnS
This event happened within the framework of the PEEK AR537 project On the fragility of sounds, Centre for Gender Studies, KUG
Comparative evaluation of interpolation methods for the directivity of musical instruments
Measurements of the directivity of acoustic sound sources must be interpolated in almost all cases, either for spatial upsampling to higher resolution representations of the data, for spatial resampling to another sampling grid, or for use in simulations of sound propagation. The performance of different interpolation techniques applied to sparsely sampled directivity measurements depends on the sampling grid used but also on the radiation pattern of the sources themselves. Therefore, we evaluated three established approaches for interpolation from a low-resolution sampling grid using high-resolution measurements of a representative sample of musical instruments as a reference. The smallest global error on average occurs for thin plate pseudo-spline interpolation. For interpolation based on spherical harmonics (SH) decomposition, the SH order and the spatial sampling scheme applied have a strong and difficult to predict influence on the quality of the interpolation. The piece-wise linear, spherical triangular interpolation provides almost as good results as the first-order spline approach, albeit with on average 20 times higher computational effort. Therefore, for spatial interpolation of sparsely sampled directivity measurements of musical instruments, the thin plate pseudo-spline method applied to absolute-valued data is recommended and, if necessary, a subsequent modeling of the phase
Design of a Vowel and Voice Quality Indication Tool Based on Synthesized Vocal Signals
Voice disorders due to strenuous usage of unhealthy voice qualities are a common problem in professional singing. In order to minimize the risk of these voice disorders, vital feedback can be given by making aware of one’s sung voice quality. This work presents the design task of a vowel and voice quality indication tool which can enable such a feedback. The tool is implemented in form of a VST plug-in. The plugin’s interface provides a graphical representation of voice quality and vowel intelligibility by means of two 2D voice maps. The voice maps allow a graphical distinction of three voice qualities (modal, breathy or creaky), and the representation of a sung vowel within the formant space spanned by the first and second formant frequency. The design process includes (i) building a ground truth dataset by using a modified speech synthesizer, (ii) linear prediction analysis, and (iii) the visualisation of the estimated vowel and voice quality by means of the 2D voice maps. The plugin’s code is available as open source to enable further development