LLR is a non-parametric method that estimates p(y|x) as a linear transformation that varies slowly with the input x.
p(y|x) is estimated as follows: The transformationÂ is a function of x, and is computed by solving a weighted least squares problem that depends on x. w is a kernel function that measures similarity between the current input, x, and each of the source training frames, x i .