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README.md
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@@ -48,8 +48,8 @@ The dataset repository contains data related with our work "Llama-VITS: Enhancin
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## Dataset Creation
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We fileterd `EmoV_DB_bea_sem` dataset from EmoV_DB (Adigwe et al., 2018),
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The filtered dataset contains 22.8-
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## Citation
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## Dataset Creation
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We fileterd `EmoV_DB_bea_sem` dataset from `EmoV_DB` (Adigwe et al., 2018), a database of emotional speech containing data for male and female actors in English and French. EmoV_DB covers 5 emotion classes, amused, angry, disgusted, neutral, and sleepy. To factor out the effect of different speakers, we filtered the original EmoV_DB dataset into the speech of a specific female English speaker, bea. Then we use Llama2 to predict the emotion label of the transcript chosen from the above 5 emotion classes, and select the audio samples which has the same predicted emotion.
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The filtered dataset contains 22.8-minute records for training. We named the filtered dataset `EmoV_DB_bea_sem` and investigated how the semantic embeddings from Llama2 behave in naturalness and expressiveness on it. Please refer to our paper for more information.
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## Citation
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