SingleGaussian¶

Inputs¶

• matrix (matrix_real) - the input data matrix (e.g. the MFCC descriptor over frames)

Outputs¶

• mean (vector_real) - the mean of the values

• covariance (matrix_real) - the covariance matrix

• inverseCovariance (matrix_real) - the inverse of the covariance matrix

Description¶

This algorithm estimates the single gaussian distribution for a matrix of feature vectors. For example, using the single gaussian on descriptors like MFCC with the symmetric Kullback-Leibler divergence might be a much better option than just the mean and variance of the descriptors over a whole signal.

An exception is thrown if the covariance of the input matrix is singular or if the input matrix is empty.

References:

[1] E. Pampalk, “Computational models of music similarity and their application in music information retrieval,” Vienna University of Technology, 2006.

Source code¶

• C++ source code

• C++ header file

See also¶

MFCC (standard) MFCC (streaming) SingleGaussian (standard)