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toronto_embeddings/OAF_Fear
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toronto_embeddings/OAF_Pleasant_surprise
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toronto_embeddings/OAF_Sad
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toronto_embeddings/OAF_angry
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toronto_embeddings/OAF_disgust
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toronto_embeddings/OAF_neutral
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toronto_embeddings/YAF_angry
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toronto_embeddings/YAF_fear
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The Toronto Emotional Speech Set (TESS) is a dataset consisting of emotionally charged speech recordings, designed for emotion recognition tasks. This repository provides precomputed audio embeddings extracted using the Music2Latent model. These embeddings are derived from the TESS dataset, available at TESS dataset on Kaggle, enabling quick and efficient use for tasks like speech emotion recognition. The embeddings can be directly used for classification tasks, without the need for raw audio preprocessing.

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