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metadata
language:
  - aka
task_categories:
  - automatic-speech-recognition
tags:
  - speech
  - dysarthria
  - akan
  - low-resource
  - impaired-speech
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: audio
      dtype:
        audio:
          sampling_rate: 16000
    - name: transcription
      dtype: string
    - name: split
      dtype: string
    - name: split_aetiology
      dtype: string
    - name: condition
      dtype: string
    - name: speaker_id
      dtype: string
    - name: gender
      dtype: string
    - name: age
      dtype: float64
    - name: environment
      dtype: string
    - name: duration
      dtype: float64
    - name: severity
      dtype: string
  splits:
    - name: train
      num_bytes: 488751378.515
      num_examples: 11905
    - name: validation
      num_bytes: 87654292.204
      num_examples: 1812
    - name: test
      num_bytes: 14104871
      num_examples: 595
  download_size: 544204214
  dataset_size: 590510541.719

UGAkan-ImpairedSpeechData (Research Working Copy)

Personal working copy for ASR research. Original dataset: UGAkan-ImpairedSpeechData (University of Ghana).

Structure on this repo

Metadata Columns

Column Description
filename Audio filename
aetiology Raw aetiology label
aetiology_key Normalised key
gender Speaker gender
speaker_id Unique speaker ID
environment Recording environment
transcription Akan transcription
duration Audio duration in seconds
severity Severity label
audio_path Original Drive path
split_unified train / val / test_clean / test_hard
split_aetiology Per-aetiology split for cross-generalization

Split Strategy

  • Split by speaker ID — no leakage
  • Unified: 70% train / 10% val / 10% test_clean / 10% test_hard
  • Per-aetiology: separate splits for cross-generalization experiments
  • Stroke = zero-shot test condition (male only)