Flow-based generative model: Difference between revisions

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====Generalized calibration transform====
The above calibration transform can be generalized to <math>f_\text{gcal}:\Delta^{n-1}\to\Delta^{n-1}</math>, with parameters <math>\mathbf c\in\R^n</math> and <math>\mathbf A</math> <math>n\text{-by-}n</math> invertible:<ref>{{Cite thesis
|last1=Brümmer
|first1=Niko
|title=Measuring, refining and calibrating speaker and language information extracted from speech
|type=PhD thesis
|institution=Department of Electrical & Electronic Engineering, University of Stellenbosch
|___location=Stellenbosch, South Africa
|date=18 October 2010
|url=https://arxiv.org/abs/2312.09852
}}</ref>
:<math>
\mathbf q = f_\text{gcal}(\mathbf p;\mathbf A,\mathbf c)