initial

1.3.0/create.py

@@ -0,0 +1,44 @@
+"""
+create.py
+
+add new age tables to the databases
+
+* per speaker use 10-20 random sentences of about 2-10 seconds
+* split into train test dev, should be age/gender balanced
+* make two versions: one with emotion acted samples and one with neutral
+* so all in all 6 new tables
+
+"""
+
+import os
+import pandas as pd
+import audb
+import audeer
+import audformat
+
+
+def main():
+    name = "crema-d"
+    previous_version = "1.2.0"
+
+    build_dir = "../build"
+    build_dir = audeer.mkdir(build_dir)
+
+    audb.load_to(
+        build_dir,
+        name,
+        version=previous_version,
+        num_workers=8,
+        only_metadata=True,
+        verbose=True,
+    )
+    db = audformat.Database.load(build_dir)
+
+    splits = ["train", "dev", "test"]
+    for split in splits:
+        pass
+    db.save(build_dir)
+
+
+if __name__ == "__main__":
+    main()

1.3.0/publish.py

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+import audb
+
+previous_version = "1.2.0"
+version = "1.3.0"
+build_dir = "./build"
+
+repository = audb.Repository(
+    name="data-public-local",
+    host="https://artifactory.audeering.com/artifactory",
+    backend="artifactory",
+)
+audb.publish(
+    build_dir,
+    version=version,
+    previous_version=previous_version,
+    repository=repository,
+    num_workers=1,
+    verbose=True,
+)

1.3.0/requirements.txt

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+pandas
+matplotlib
+seaborn
+jupyter 
+audb
+audeer
+audformat
+