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README.md
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@@ -2,7 +2,7 @@ This model is fine tuned on the IEMOCAP_speaker_indpt_Ses05F_Ses05M.pickle datas
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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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After **10** epoches of training, the validation accuracy is around **67%**.
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In order to impliment this model: run the following code in a python script:
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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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After **10** epoches of training, the validation accuracy is around **67%**.
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In order to impliment this model: run the following code in a python script:
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