parallel

nnet/xvector.py

@@ -911,6 +911,7 @@ def update_training_dictionary(dataset_description,
     dataset_opts["train"]["sampler"] = dict()
     dataset_opts["train"]["sampler"]["examples_per_speaker"] = 1
     dataset_opts["train"]["sampler"]["samples_per_speaker"] = 100
+    dataset_opts["train"]["transform_number"] = 2
     dataset_opts["train"]["transformation"] = dict()
     dataset_opts["train"]["transformation"]["pipeline"] = ""
     dataset_opts["train"]["transformation"]["add_noise"] = dict()