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ak0255
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Synthesis_SER

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The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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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
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Total file size:
2.52 GB

Paper for ak0255/Synthesis_SER