Datasets:
Update README.md
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README.md
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* **`int_events`**: A list for "interfering" events (unused in this config, so it's `[]`).
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* **`normalization_gain`**: The gain (e.g., `0.85`) applied to the final mixture to reach the `TARGET_PEAK`.
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* **`original_peak`**: The peak amplitude of the mixture *before* normalization.
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## Intended Use
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This dataset is primarily intended for training and evaluating audio source separation models, particularly those that can handle:
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* 32kHz sampling rate
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* SNRs in the 5-20 dB range
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## Citation
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### Citing the Original DCASE Data
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* **`int_events`**: A list for "interfering" events (unused in this config, so it's `[]`).
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* **`normalization_gain`**: The gain (e.g., `0.85`) applied to the final mixture to reach the `TARGET_PEAK`.
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* **`original_peak`**: The peak amplitude of the mixture *before* normalization.
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## Intended Use
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This dataset is primarily intended for training and evaluating audio source separation models, particularly those that can handle:
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* 32kHz sampling rate
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* SNRs in the 5-20 dB range
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## Generate Your Own Dataset
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You can run the same script in Google Colab to create your own custom version with different configurations.
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* Change the number of mixtures
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* Select different classes
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* Change the number of active events per mixture
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Click the badge below to open the generator notebook directly in Google Colab:
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[](https://colab.research.google.com/drive/1ZkbnWI45Bk6je5BKfky033nT7IU9A33M?usp=sharing)
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## Citation
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### Citing the Original DCASE Data
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