* Basic test for full model training
* Extend full train test
* Add train lite test
* Ensure reproducibility of frequence noise
* Unit test for noise generation
* Add Tokenizer class test
* Remove old test corpus file
* Add classifier tests
Download files on pytest setup to the test dir to avoid downloading it
every time.
Test normal, calibrated and raw modes.
* Download models only in classifier test
* Delete args object to avoid interference between tests
