If you want to use combine several acoustic parameter (feature) sets with nkululeko, you might state
type = ['mld', 'praat']
features = ['JitterPCA', 'meanF0Hz', 'hld_sylRate']
This would combine the
- hld_sylRate feature from MLD
- JitterPCA feature from Feinberg's Praat features and
- meansF0Hz feature from Feinberg's Praat features
Of course you could omit the features entry and simply use all of them.
It's interesting to see how many emotions from Berlin Emodb can still be recognized with only these three parameters:
If you want to use acoustic parameters extracted by the wonderful Praat software with nkululeko, you state
in the feature section of your config file.
If you like to use only some features of all the ones that are extracted by David R. Feinberg's Praat scripts, you can look at the output and select some of them in the FEAT section, e.g.
type = praat
features = ['JitterPCA', 'meanF0Hz']
it is interesting to see, how many emotions of Berlin EmoDB still get recognized with only mean F0 and Jitter as features:
Sometimes you might want to test your already trained model(s) on a new dataset, e.g. because the training took a lot of resources.
If you stored your models during the training this is possible.
databases = ['emodb']
save = True
In a new config file for your experiment that uses a dufferent test set, you set
databases = ['emodb', 'polish']
trains = ['emodb']
tests = ['polish']
strategy = cross_data....
only_test = True
In the example above, emodb has been used as the training database, and polish in a second experiment later as a test database.