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For parameter training of parametric shaping functions, we used a number of speech materials from the TIMIT database, as will be described further in Section 4.
Adaptive muting method using an optimized parametric shaping function as a part of the ITU-T G.722 Appendix IV packet loss concealment algorithm is proposed.
We firstly compare the performance of the two parametric shaping functions as for the muting curve according to the various error criteria.
In this paper, we presented an improved adaptive muting method using parametric shaping functions for ITU-T G.722 Appendix IV.
As a consequence, these parametric shaping functions, which decrease monotonically, can offer more flexibility to the shape of the muting curve than that of the reference muting curves [21, 22].
However, original muting uses a piece-wise linear muting curve according to packet errors so that our muting approach uses non-linear parametric shaping functions including sigmoid and raised-cosine.
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Examples illustrate parametric shape design and variation.
Parametric shape optimization can be helpful for simple parametric models.
The tool can create the cross-sections with parametric shapes and arbitrary configurations.
These include creation of robust parametric shape-based CAD model, which is capable of easy change propagation.
Predefined and freeform parametric shapes are compared in terms of compliance, strength, stress concentration factors and parasitic shifts.
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