improve(yaafe): add new picklable base class YaafeFeatureExtractor
chore(segmentation): change HMMSegmentation.fit() signature
feat(TBBT): add get_reference_SAD method to TBBT
feat: speech activity detection (training and testing)
feat(stats): add LBG algorithm for GMM estimation
improve: use LBG algorithm to estimate HMM states distributions
style: remove useless imports
feat: new pyannote.algorithm.segmentation module
feat: add pyannote.algorithm.speech
feat: pyannote.algorithm.classification.ClassificationGMMUBM
fix(yaafe): make YaafeFeatureExtractor pickable
refactor: simplify SegmentationHMM internals
feat: pyannote.algorithm.speech.SpeakerIdentification (GMM/UBM)
fix: adapted GMM should have same number of components as UBM
feat: add logging to LBG
feat: add 'probability' argument to SpeakerIdentification.apply()
feat: add 'sampling' argument to SegmentationHMM
chore: increase logging level