---
title: latent-toronto-emotion
canonical_url: "https://www.modelscope.cn/datasets/sleeping-ai/latent-toronto-emotion"
md_url: "https://www.modelscope.cn/datasets/sleeping-ai/latent-toronto-emotion.md"
repository: sleeping-ai/latent-toronto-emotion
last_updated: 2025-07-07
license: apache-2.0
storage_size: "6.8 MB"
downloads: 353
stars: 0
---

# latent-toronto-emotion

> latent-toronto-emotion - sleeping-ai 在 ModelScope 开源的数据集。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…

sleeping-ai/latent-toronto-emotion 是 ModelScope 魔搭社区上的数据集，存储大小 6.8 MB，采用 apache-2.0 许可。

- **Repository**: sleeping-ai/latent-toronto-emotion
- **License**: apache-2.0
- **Storage size**: 6.8 MB
- **Downloads**: 353
- **Stars**: 0
- **Last updated**: 2025-07-07

Source: https://www.modelscope.cn/datasets/sleeping-ai/latent-toronto-emotion

---

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.