metadata

language:
  - yue
dataset_info:
  features:
    - name: audio_file
      dtype:
        audio:
          sampling_rate: 16000
    - name: duration
      dtype: int64
    - name: label
      dtype: string
    - name: confidence
      dtype: float64
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 22487193006.137
      num_examples: 726579
  download_size: 72192896899
  dataset_size: 22487193006.137
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Cantonese Emotional Speech

Crawled from YouTube and RTHK, this dataset contains 1,000 hours of Cantonese speech, each labeled with one of the following emotions: angry, disgusted, fearful, happy, neutral, other, sad, or surprised. The dataset also includes the confidence of the emotion label. The audio files are denoised with resemble-enhance. The transcriptions are generated by SenseVoiceSmall, and deduplicated using MinHash.