For each frame, it computes the log likelihood difference between a speech model and a non speech model.
The highest is the estimate, the largest is the probability that the frame corresponds to speech.
The initialization of the analyzer requires to chose a model between 'etape' and 'maya'
- 'etape' models were obtained on data collected by LIMSI in the framework of ETAPE ANR project
+ 'etape' models were trained on data distributed in the framework of the ETAPE campaign (http://www.afcp-parole.org/etape.html)
'maya' models were obtained on data collected by EREA – Centre Enseignement et Recherche en Ethnologie Amerindienne
"""
implements(IAnalyzer)