refactoring

nnet/xvector.py

@@ -908,6 +908,9 @@ def update_training_dictionary(dataset_description,
     dataset_opts["train"]["duration"] = 2.
     dataset_opts["train"]["chunk_per_segment"] = -1
     dataset_opts["train"]["overlap"] = 1.9
+    dataset_opts["train"]["sampler"] = dict()
+    dataset_opts["train"]["sampler"]["examples_per_speaker"] = 1
+    dataset_opts["train"]["sampler"]["samples_per_speaker"] = 100
     dataset_opts["train"]["transformation"] = dict()
     dataset_opts["train"]["transformation"]["pipeline"] = ""
     dataset_opts["train"]["transformation"]["add_noise"] = dict()