Datasets:
Tasks:
Automatic Speech Recognition
Modalities:
Audio
Formats:
soundfolder
Languages:
Thai
Size:
10K - 100K
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Thai Elderly Speech Dataset (Combined Evaluation Set)
This dataset contains evaluation recordings for Thai elderly speech, combined from Healthcare and Smarthome domains.
Dataset Structure
After extracting Combined_Dataset.zip, the directory structure will look like this:
Combined_Dataset/
├── Train/ # 80% of the dataset (15,360 files)
│ ├── Accuracy_100/ # Files with 100% baseline accuracy
│ ├── Accuracy_50_99/ # Files with 50-99% baseline accuracy
│ └── All_Dataset/ # Contains ALL Train files combined
├── Test/ # 20% of the dataset (3,840 files)
│ ├── (all test audio files are stored directly here)
├── train_typhoon_evaluation_results.csv # Metadata & transcripts for Train set
├── test_typhoon_evaluation_results.csv # Metadata & transcripts for Test set
└── typhoon_evaluation_results.csv # Original combined metadata
- Train Set (80%): Used for fine-tuning models. It is subdivided into
Accuracy_100,Accuracy_50_99, andAll_Datasetto allow flexible targeted training (e.g., training only on highly accurate data vs full dataset). - Test Set (20%): A completely isolated central test set used for unbiased evaluation across all models. All audio files are located directly in the
Test/folder without subdirectories. - Metadata Files: The CSV files contain the filenames, reference transcripts, hypothesis transcripts (from the baseline model), and accuracy percentages.
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