The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets library). If this is not possible, please
open a discussion
for direct help.
This dataset was taken from the creators GitHub repository and converted for my own studying needs.
Dusha dataset
Dusha is a bi-modal corpus suitable for speech emotion recognition (SER) tasks. The dataset consists of about 300 000 audio recordings with Russian speech, their transcripts and emotional labels. The corpus contains approximately 350 hours of data. Four basic emotions that usually appear in a dialog with a virtual assistant were selected: Happiness (Positive), Sadness, Anger and Neutral emotion.
License
Authors
- Artem Sokolov
- Fedor Minkin
- Nikita Savushkin
- Nikolay Karpov
- Oleg Kutuzov
- Vladimir Kondratenko
- Downloads last month
- 136