A database of emotional speech. Ten actors (5 female and 5 male) simulated the emotions, producing 10 German utterances (5 short and 5 longer sentences) which could be used in everyday communication and are interpretable in all applied emotions. The recordings were taken in an anechoic chamber with high-quality recording equipment. In addition to the sound electro-glottograms were recorded. The speech material comprises about 800 sentences (seven emotions * ten actors * ten sentences + some second versions). The complete database was evaluated in a perception test regarding the recognisability of emotions and their naturalness. Utterances recognised better than 80% and judged as natural by more than 60% of the listeners were included in the database, resulting in 535 samples. They are split into 4 speakers in test and 6 speakers in train. The database meta information is in audformat. The audio format is 16kHz wav format. Here's a sample script in Python how to get train and test dataframes: import audformat !wget https://zenodo.org/record/7447302/files/emodb.zip !unzip emodb.zip db = audformat.Database.load('emodb') df_test = db['emotion.categories.test.gold_standard'].get() df_train = db['emotion.categories.train.gold_standard'].get() print(f'samples in train: {df_train.shape[0]}, and test: {df_test.shape[0]}')

{"references": ["F. Burkhardt, A. Paeschke, M. Rolfes, W. Sendlmeier, B. Weiss: A Database of German Emotional Speech, Interspeech 2005"]}

http://database.syntheticspeech.de/ Funded by DFG (German Research Community) Grant no. SE 462/3-1