@@ -79,18 +79,18 @@ Make sure to modify the file ```path.sh``` in order to export the necessary envi
Here is a short overview of the stages:
- stage 0: deletes experiment folder if it exists and runs all subsequent stages in a row
- stage 1: prepares the data given an experiment folder (e.g., ```DATA/BEAGR```); resulting files are stored in ```exp_*/data/```
- stage 2:
-```stage=0```: deletes experiment folder if it exists and runs all subsequent stages in a row
-```stage=1```: prepares the data given an experiment folder (e.g., ```DATA/BEAGR```); resulting files are stored in ```exp_*/data/```
-```stage=2```:
- counts frequencies of used codebook entries per speaker
- if VERBOSE is true this stage also generates log-files
-**ATTENTION:** if you need to extract features with a CPU, set ```device = torch.device('cpu')``` in the script ```local/codebook_freqs.py``` (default is ```device = torch.device('gpu')```)
- resulting files are stored in ```exp_*/logs/```, ```exp_*/numpy/``` and```exp_*/txt/```
- stage 3: prepares and stores a similarty matrix in the folder ```exp_*/numpy/```
- stage 4:
-```stage=3```: prepares and stores a similarty matrix in the folder ```exp_*/numpy/```
-```stage=4```:
- performs a PCA on the similarity matrix and plots the PCA space
- resulting ```*.png```-files are stored in ```exp_*/plots/analysis/```
- stage 5:
-```stage=5```:
- performs k-means on the resulting PCA space and assigns classes
-**ATTENTION:** the parameter ```nclust``` in the script ```run.sh``` specifies the number of allowed clusters which should be modified depending on the task
- resulting ```*.png```-files (confusion matrices) are stored in ```exp_*/plots/kmenas/```
