Dataset Viewer
audio
audioduration (s) 1.58
7.5
| text
stringlengths 1
77
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|---|---|
fell
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this is a good place though small
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beat
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sign
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feed
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knock
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bit
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travel is about the only leisure we have
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sight
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this railroad's future is in the west
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slip
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corn
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up
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menu
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stretch
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select
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lip
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they'll never fit me again
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bagpipes and bongos are musical instruments
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reap
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fool
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duck
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hall
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left
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hail
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slip
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most young rise early every morning
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forks
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liquor
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heart
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share
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flicker
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cheer
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it looked like an accordion
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slid
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seam
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sierra
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some hotels are available nearby
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and
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thorn
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see
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beef
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the golfing fathers ruled in his favor
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the job provides many benefits
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cat
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panel
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neat
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heat
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tore
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arm
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that's what life is really all about
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the little schoolhouse stood empty
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fell
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whip
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pain
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dark
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lisp
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blend
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leak
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go
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fold
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zip
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zero
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list
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mole
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i loved every minute of it
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he
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zulu
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sport
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i got into acting by accident
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this is not a program of socialized medicine
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shore
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we got drenched from the uninterrupted rain
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the prowler wore a ski mask for disguise
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it's illegal to postdate a check
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form
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seven
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occur
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i was pleased with the way things went
|
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loop
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mother sews yellow gingham aprons
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pant
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wax
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dress
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sheet
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hate
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nap
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a large household needs lots of appliances
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goose
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good service should be rewarded by big tips
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lend
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beat
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fudge
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sit
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echo
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grandmother outgrew her upbringing in petticoats
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i'm willing to experiment for the first time
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rise
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spark
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sake
|
End of preview. Expand
in Data Studio
Torgo Healthy Female Dataset (Updated)
Overview
This dataset contains healthy control speech samples from a female speaker (FC02) in the TORGO corpus, prepared for pathological speech synthesis research.
Speaker Information:
- Speaker ID: FC02
- Corpus: TORGO
- Gender: Female
- Speech Status: Healthy Control
Dataset Statistics
- Total Samples: 800
- Total Duration: 0.63 hours
- Sampling Rate: 24,000 Hz
- Format: Audio arrays with transcriptions
Training Split
- Samples: 700
- Duration: 0.55 hours
- Avg Duration: 2.9s
- Duration Range: 1.6s - 7.5s
- Avg Text Length: 13 characters
Test Split
- Samples: 100
- Duration: 0.08 hours
- Avg Duration: 2.9s
- Duration Range: 1.9s - 6.3s
- Avg Text Length: 14 characters
Loading the Dataset
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("your-username/torgo_healthy_female")
# 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_healthy_female")
trainer = Trainer(
train_dataset=dataset['train'],
eval_dataset=dataset['test'],
# ... other trainer arguments
)
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