hughlan1214/SER

---
license: unknown
dataset_info:
features:
- name: path
dtype: string
- name: audio
dtype: audio
- name: emotion
dtype: string
- name: dataset
dtype: string
splits:
- name: train
num_bytes: 4484334276.16
num_examples: 11970
download_size: 1315896899
dataset_size: 4484334276.16
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

This dataset is created from [Speech Emotion Recognition (en)](https://www.kaggle.com/datasets/dmitrybabko/speech-emotion-recognition-en) dataset.

This dataset includes the 4 most popular datasets in English: Crema, Ravdess, Savee, and Tess, containing a total of over 12,000 .wav audio files. Each of these four datasets includes 6 to 8 different emotional labels.

It includes the 7 types of emotions contained in speech.

```python
emotions = ['angry', 'disgust', 'fear', 'happy', 'neutral', 'sad', 'surprise']
```

原始信息汇总

数据集概述

数据特征

• path: 数据类型为字符串。
• audio: 数据类型为音频。
• emotion: 数据类型为字符串。
• dataset: 数据类型为字符串。

数据分割

• train: 包含11970个样本，总大小为4484334276.16字节。

数据集大小

• 下载大小: 1315896899字节。
• 数据集大小: 4484334276.16字节。

配置

• default: 数据文件路径为data/train-*。

数据集内容

• 该数据集包含来自四个流行英语数据集（Crema, Ravdess, Savee, Tess）的音频文件，总计超过12,000个.wav文件。
• 每个数据集包含6至8种不同的情感标签。
• 数据集包含7种情感类型： python emotions = [angry, disgust, fear, happy, neutral, sad, surprise]