replace original ravdess with smaller 16k

bagustris · Apr 25, 2024 · dfd0979 · dfd0979
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commit dfd0979
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diff --git a/.github/workflows/basic_tests_for_aud_csv.yaml b/.github/workflows/basic_tests_for_aud_csv.yaml
@@ -36,8 +36,9 @@ jobs:
     - name: Run csv-ravdess-praat-xgb
       run: |
         cd data/ravdess
-        wget https://zenodo.org/record/1188976/files/Audio_Speech_Actors_01-24.zip
-        unzip Audio_Speech_Actors_01-24.zip
+        # wget https://zenodo.org/record/1188976/files/Audio_Speech_Actors_01-24.zip
+        wget https://zenodo.org/records/11063852/files/Audio_Speech_Actors_01-24_16k.zip
+        unzip Audio_Speech_Actors_01-24_16k.zip
         cd ../..
         python3 -m nkululeko.nkululeko --config data/ravdess/exp_praat_xgb.ini > output1.txt
         if grep -q "DONE" output1.txt; then

diff --git a/data/ravdess/README.md b/data/ravdess/README.md
@@ -5,10 +5,14 @@ I used the version downloadable from [Zenodo](https://zenodo.org/record/1188976)
 
 Download and unzip the file Audio_Speech_Actors_01-24.zip
 ```bash
+# download original dataset in 48k
 $ wget https://zenodo.org/record/1188976/files/Audio_Speech_Actors_01-24.zip
 $ unzip Audio_Speech_Actors_01-24.zip
 ```
 
+Or, if you prefer the dataset in 16k, you can download from this link:
+https://zenodo.org/records/11063852/files/Audio_Speech_Actors_01-24_16k.zip  
+
 run the file
 ```bash
 python3 process_database.py