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***"uses Bent Schmidt Nielsen's algorithm. Each time audio comes in, the average signal level and the background noise level are updated, using the signal level of the current audio. If the average signal level is greater than the background noise level by a certain threshold value (configurable), then the current audio is marked as speech. Otherwise, it is marked as non-speech." from http://cmusphinx.sourceforge.net/sphinx4/javadoc/edu/cmu/sphinx/frontend/endpoint/SpeechClassifier.html
**Bent K. Schmidt-Nielsen http://www.merl.com/people/?user=bent
***Guinness, J.; Raj, B.; Schmidt-Nielsen, B.; Turicchia, L.; Sarpeshkar, R., "A Companding Front End for Noise-Robust Automatic Speech Recognition", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN: 1520-6149, Vol. 1, pp. 249-252, March 2005 ([http://ieeexplore.ieee.org/ IEEE Xplore], [TR2005-023 http://www.merl.com/publications/TR2005-023/TR2005-023 ])
==Code==