resproj007/torgo_dysarthric_male

Torgo Dysarthric Male Dataset (Updated)

Overview

This dataset contains dysarthric speech samples from a male speaker (M02) in the TORGO corpus, prepared for pathological speech synthesis research.

Speaker Information:

• Speaker ID: M02
• Corpus: TORGO
• Gender: Male
• Speech Status: Dysarthric

Dataset Statistics

• Total Samples: 770
• Total Duration: 0.79 hours
• Sampling Rate: 24,000 Hz
• Format: Audio arrays with transcriptions

Training Split

• Samples: 700
• Duration: 0.72 hours
• Avg Duration: 3.7s
• Duration Range: 0.9s - 17.7s
• Avg Text Length: 12 characters

Test Split

• Samples: 70
• Duration: 0.07 hours
• Avg Duration: 3.5s
• Duration Range: 1.2s - 15.9s
• Avg Text Length: 12 characters

Loading the Dataset

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("your-username/torgo_dysarthric_male")

# Access train and test splits
train_data = dataset['train']
test_data = dataset['test']

# Each sample contains:
# - 'audio': {'array': numpy_array, 'sampling_rate': 24000}
# - 'text': str (normalized transcription)

# Example usage
sample = train_data[0]
audio_array = sample['audio']['array']
transcription = sample['text']
sampling_rate = sample['audio']['sampling_rate']

Direct Training with Transformers

from transformers import Trainer
from datasets import load_dataset

# Load and use directly with Trainer (no preprocessing needed)
dataset = load_dataset("your-username/torgo_dysarthric_male")
trainer = Trainer(
    train_dataset=dataset['train'],
    eval_dataset=dataset['test'],
    # ... other trainer arguments
)