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# Russian Speech Emotion Recognition
Hubert Large Speech Emotion Recognition Russian Dusha Finetuned
Apache-2.0
This model is a Russian speech emotion recognition model fine-tuned on the HuBERT architecture, trained on the DUSHA dataset, capable of identifying emotional states such as neutral, anger, positivity, and sadness.
Audio Classification
Transformers Other
Transformers OtherH
xbgoose
111.13k
13
Wav2vec2 Xlsr 53 Russian Emotion Recognition
MIT
This is a Russian speech emotion recognition model based on the XLS-R Wav2Vec2 architecture, capable of identifying 7 basic emotions with an accuracy of 72%.
Audio Classification Transformers Other
Transformers OtherW
Aniemore
1,106
13
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