amiriparian
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ExHuBERT

Audio Classification

Speech Emotion Recognition

Affective Computing

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amiriparian commited on Jul 16

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@@ -31,7 +31,7 @@ Authors: Shahin Amiriparian, Filip Packań, Maurice Gerczuk, Björn W. Schuller
 Fine-tuned and backbone extended [**HuBERT Large**](https://huggingface.co/facebook/hubert-large-ls960-ft) on EmoSet++, comprising 37 datasets, totaling 150,907 samples and spanning a cumulative duration of 119.5 hours.
 The model is expecting a 3 second long raw waveform resampled to 16 kHz. The original 6 Ouput classes are combinations of low/high arousal and negative/neutral/positive
 valence.
-Further details are available in the corresponding [**paper**](https://huggingface.co/amiriparian/ExHuBERT/blob/main/paper_exhubert_interspeech2024.pdf).
 ### EmoSet++ subsets used for fine-tuning the model:

 Fine-tuned and backbone extended [**HuBERT Large**](https://huggingface.co/facebook/hubert-large-ls960-ft) on EmoSet++, comprising 37 datasets, totaling 150,907 samples and spanning a cumulative duration of 119.5 hours.
 The model is expecting a 3 second long raw waveform resampled to 16 kHz. The original 6 Ouput classes are combinations of low/high arousal and negative/neutral/positive
 valence.
+Further details are available in the corresponding [**paper**](https://arxiv.org/pdf/2406.10275).
 ### EmoSet++ subsets used for fine-tuning the model: