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- This model is fine tuned on the IEMOCAP_speaker_indpt_Ses05F_Ses05M.pickle dataset, which use Ses05F as validation speaker and Ses05M as test speaker. So it is a speaker independent model.
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  The initial pre-trained model is facebook/wav2vec2-base. The fine tune dataset only contains 4 common emotions of IEMOCAP (happy, angry, sad, neutral), **without frustration**. No audio augmentation is applied. Fine-tune dataset audios are also not padded or trimed to fixed length. The length setting is done when fine tuning the transoformer using max_length = 8 sec in the feature extractor.
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+ This model is fine tuned on the IEMOCAP_speaker_indpt_Ses05F_Ses05M.pickle dataset, which use Ses05F as validation speaker and Ses05M as test speaker. **We do not apply volume normalization, neither data augmentation.** So it is a speaker independent model.
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  The initial pre-trained model is facebook/wav2vec2-base. The fine tune dataset only contains 4 common emotions of IEMOCAP (happy, angry, sad, neutral), **without frustration**. No audio augmentation is applied. Fine-tune dataset audios are also not padded or trimed to fixed length. The length setting is done when fine tuning the transoformer using max_length = 8 sec in the feature extractor.
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