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Cantonese Radio Pseudo-Transcription Dataset

  • Contains 14k hours of audio sourced from Archive.org
  • Columns
    • order_index: Represents the order of the audio compared to those from the same filename
    • link: Link of the original full audio
    • transcript_whisper: Transcribed using Scrya/whisper-large-v2-cantonese with alvanlii/whisper-small-cantonese for speculative decoding
    • transcript_sensevoice: Transcribed using FunAudioLLM/SenseVoiceSmall
      • used OpenCC to convert to traditional chinese
      • isolated event tags to event_sensevoice
      • isolated emotion tags to emotion_sensevoice
    • snr: Signal-to-noise ratio, extracted from ylacombe/brouhaha-best
    • c50: Speech clarity, extracted from ylacombe/brouhaha-best
    • emotion: Emotion, extracted from emotion2vec/emotion2vec_plus_large
    • Note that id does not reflect the ordering of the audio within the same video
  • Processing
    • The full audio is split using WhisperX, using Scrya/whisper-large-v2-cantonese
      • it is split in <30s chunks and according to speakers
    • No filtering or additional audio processing was done for this dataset
      • Filtering is recommended for your own use
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