Entropy¶

Inputs¶

• array (vector_real) - the input array (cannot contain negative values, and must be non-empty)

Outputs¶

• entropy (real) - the entropy of the input array

Description¶

This algorithm computes the Shannon entropy of an array. Entropy can be used to quantify the peakiness of a distribution. This has been used for voiced/unvoiced decision in automatic speech recognition.

Entropy cannot be computed neither on empty arrays nor arrays which contain negative values. In such cases, exceptions will be thrown.

References:

[1] H. Misra, S. Ikbal, H. Bourlard and H. Hermansky, “Spectral entropy based feature for robust ASR,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’04).

Source code¶

• C++ source code

• C++ header file

See also¶

Entropy (standard)