diff --git a/README.md b/README.md
index 1a110acc5e66539bff4686bd497a1ac69109bdf8..a0756b3aaeee12a443fbe1037aab14b29a57dac7 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@ Stay tuned for updates and we appreciate your interest in our work. Please conti
 - matplotlib
 
 ## Repository structure
-The repository includes a **main script** (```run.sh```), a folder which includes Python scripts (```local/*py```) and an example data folder (```DATA/BEAGR/```). **ATTENTION:** If you want to work with your own data you would need to prepare a folder on your own which follows a specific **folder structure**. 
+The repository includes a **main script** (```run.sh```), a folder which includes Python scripts (```local/*py```) and an example data folder (```DATA/BEAGR/```). **If you want to work with your own data you would need to prepare a folder on your own which follows a specific folder structure**. 
 
 The example data folder includes example files from the BEA corpus (Hungarian) and the GRASS corpus (Austrian German) which makes it possible to run an experiment from scratch. In general, the speech data to be analyzed should be stored in the folder ```DATA/```. In case of the example experiment, this folder ()```DATA/BEAGR/```) has the following structure:
 
@@ -86,7 +86,7 @@ Here is a short overview of the stages:
 - ```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')```)
+  - **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/```
@@ -95,6 +95,6 @@ Here is a short overview of the stages:
   - resulting ```*.png```-files are stored in ```exp_*/plots/analysis/```
 - ```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
+  - **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/```