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Synthesis_SER

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Synthesis SER Dataset

Overview

This dataset contains synthetic speech audio files for Speech Emotion Recognition (SER) training, specifically designed for training the emotion2vec model. The data is generated using two state-of-the-art TTS systems: CosyVoice2 and Kimi-Audio.

Paper

If you use this dataset, please cite our paper:

https://arxiv.org/pdf/2603.16483

Dataset Structure

Each subdirectory corresponds to a source emotional speech dataset and contains synthetic data generated using both TTS engines:

Subdirectory Source TTS Engines # WAV Files
CREMA_D_SYN.tar.gz CREMA-D CosyVoice2 + Kimi-Audio 2,236
IEMOCAP_SYN.tar.gz IEMOCAP CosyVoice2 + Kimi-Audio 3,570
LLM_DATA_SYN.tar.gz LLM_DATA CosyVoice2 + Kimi-Audio 3,155
RAVDESS_SYN.tar.gz RAVDESS CosyVoice2 + Kimi-Audio 12
SAVEE_SYN.tar.gz SAVEE CosyVoice2 + Kimi-Audio 124
TESS_SYN.tar.gz TESS CosyVoice2 + Kimi-Audio 12,397

Internal Structure

Each tar.gz contains:

├── cosyvoice2/
│   ├── train/
│   │   ├── *.wav
│   │   └── train.json
│   └── test/
│       ├── *.wav
│       └── test.json
└── kimi-audio/
    ├── train/
    │   ├── *.wav
    │   └── train.json
    └── test/
        ├── *.wav
        └── test.json

Each train.json / test.json contains metadata:

{
  "emotion": "angry",
  "wav_path": "..."
}

Supported Emotions

  • angry
  • disgust
  • fearful
  • happy
  • neutral
  • sad
  • surprised

Real Data Sources

Since the real emotional speech data is publicly available, we only host the synthetic data on HuggingFace. If you need the real data for research, please download from the original sources:

Dataset Kaggle Link
IEMOCAP https://www.kaggle.com/datasets/samuelsamsudinng/iemocap-emotion-speech-database
RAVDESS https://www.kaggle.com/datasets/uwrfkaggler/ravdess-emotional-speech-audio
RAVDESS_SONG https://www.kaggle.com/datasets/uwrfkaggler/ravdess-emotional-song-audio
SAVEE https://www.kaggle.com/datasets/ejlok1/surrey-audiovisual-expressed-emotion-savee
TESS https://www.kaggle.com/datasets/ejlok1/toronto-emotional-speech-set-tess
MELD https://www.kaggle.com/datasets/zaber666/meld-dataset
CREMA-D https://www.kaggle.com/datasets/ejlok1/cremad

Usage 

from huggingface_hub import hf_hub_download

# Download and extract a dataset
repo_id = "ak0255/Synthesis_SER"
filename = "SAVEE_SYN.tar.gz"
path = hf_hub_download(repo_id=repo_id, filename=filename, repo_type="dataset")

License

Apache 2.0
Downloads last month
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Total file size:
2.52 GB

Paper for ak0255/Synthesis_SER