razvan404 / multimodal-speech-emotion-recognitionLinks
Multimodal SER Model meant to be trained on recognising emotions from speech (text + acoustic data). Fine-tuned the DeBERTaV3 model, respectively the Wav2Vec2 model to extract the features and classify the emotions from the text, respectively audio data, then passed their features and their classification through an MLP to achieve better results…
☆10Updated last year
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