Coverage for src/bob/bio/spear/config/pipeline/mfcc60_isv_mini.py: 0%

1#!/usr/bin/env python 

2# @author: Yannick Dayer <yannick.dayer@idiap.ch> 

3# @date: Thu 31 Mar 2022 16:56:40 UTC+02 

4 

5from sklearn.pipeline import Pipeline 

6 

7from bob.bio.base.algorithm import GMM, ISV 

8from bob.bio.base.pipelines import PipelineSimple 

9from bob.bio.spear.annotator import Energy_2Gauss 

10from bob.bio.spear.extractor import Cepstral 

11from bob.bio.spear.transformer import ReferenceIdEncoder 

12from bob.learn.em import KMeansMachine 

13from bob.pipelines import wrap 

14 

15SEED = 0 

16 

17ubm = GMM( 

18 n_gaussians=8, 

19 max_fitting_steps=2, 

20 convergence_threshold=1e-3, # Maximum number of iterations as stopping criterion 

21 k_means_trainer=KMeansMachine( 

22 n_clusters=8, 

23 max_iter=2, 

24 random_state=SEED, 

25 init_max_iter=5, 

26 oversampling_factor=64, 

27 ), 

28 return_stats_in_transform=True, 

29) 

30 

31bioalgorithm = ISV( 

32 # ISV parameters 

33 r_U=2, 

34 random_state=SEED, 

35 em_iterations=2, 

36 enroll_iterations=1, 

37 # GMM parameters 

38 ubm=ubm, 

39) 

40 

41transformer = Pipeline( 

42 [ 

43 ("annotator", Energy_2Gauss()), 

44 ("extractor", Cepstral()), 

45 ("ubm", ubm), 

46 ("template_id_encoder", ReferenceIdEncoder()), 

47 ("isv", bioalgorithm), 

48 ] 

49) 

50transformer = wrap(["sample"], transformer) 

51 

52pipeline = PipelineSimple(transformer, bioalgorithm)