svm_scoring
Copyright 2014-2015 Anthony Larcher
svm_scoring provides functions to perform speaker verification
by using Support Vector Machines.
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svm_scoring.svm_scoring(svmDir, test_sv, ndx, numThread=1)[source]
Compute scores for SVM verification on multiple threads
(two classes only as implementeed at the moment)
Parameters: |
- svmDir – directory where to load the SVM models
- test_sv – StatServer object of super-vectors. stat0 are set to 1 and stat1
are the super-vector to classify
- ndx – Ndx object of the trials to perform
- numThread – number of thread to launch in parallel
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Returns: | a Score object.
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svm_scoring.svm_scoring_singleThread(svmDir, test_sv, ndx, scoreMat, segIdx=[])[source]
Compute scores for SVM verification on a single thread
(two classes only as implementeed at the moment)
Parameters: |
- svmDir – directory where to load the SVM models
- test_sv – StatServer object of super-vectors. stat0 are set to 1 and stat1 are the super-vector to classify
- ndx – Ndx object of the trials to perform
- scoreMat – ndarray of scores to fill
- segIdx – list of segments to classify. Classify all if the list is empty.
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