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README.md

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 license: apache-2.0
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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** from the TESS dataset, enabling quick and efficient use for classification tasks like speech emotion recognition. The embeddings are derived from state-of-the-art models, making it easier to apply machine learning algorithms without requiring raw audio preprocessing.
+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](https://github.com/SonyCSLParis/music2latent). These embeddings are derived from the TESS dataset, available at [TESS dataset on Kaggle](https://www.kaggle.com/datasets/ejlok1/toronto-emotional-speech-set-tess), 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.