s basically , the  the cube will have three dimensions.
He 's tethered.
The first dimension is the  the features that we 're going to use. And the second dimension , um , is the training corpus. And that 's the training on the discriminant neural net. Um and the last dimension happens to be
Yeah and again  Yeah. So the  the training for HTK is always  that 's always set up for the individual test , right ? That there 's some training data and some test data. So that 's different than this.