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NURC-SP_ENTOA_TTS

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metadata
license: mit

How to Load the Dataset

There are 2 configurations: "prosodic" and "automatic". Below are the parameters for each configuration:

prosodic = load_dataset("nilc-nlp/NURC-SP_ENTOA_TTS", name="prosodic", trust_remote_code=True)
automatic = load_dataset("nilc-nlp/NURC-SP_ENTOA_TTS", name = "automatic", trust_remote_code=True)

Prosodic Parameters

  • "path": datasets.Value("string")
  • "name": datasets.Value("string")
  • "speaker": datasets.Value("string")
  • "start_time": datasets.Value("string")
  • "end_time": datasets.Value("string")
  • "normalized_text": datasets.Value("string")
  • "text": datasets.Value("string")
  • "duration": datasets.Value("string")
  • "type": datasets.Value("string")
  • "year": datasets.Value("string")
  • "gender": datasets.Value("string")
  • "age_range": datasets.Value("string")
  • "total_duration": datasets.Value("string")
  • "quality": datasets.Value("string")
  • "theme": datasets.Value("string")
  • "audio": datasets.Audio(sampling_rate=16_000)

Automatic Parameters

  • "audio_name": datasets.Value("string")
  • "file_path": datasets.Value("string")
  • "text": datasets.Value("string")
  • "start_time": datasets.Value("string")
  • "end_time": datasets.Value("string")
  • "duration": datasets.Value("string")
  • "quality": datasets.Value("string")
  • "speech_genre": datasets.Value("string")
  • "speech_style": datasets.Value("string")
  • "variety": datasets.Value("string")
  • "accent": datasets.Value("string")
  • "sex": datasets.Value("string")
  • "age_range": datasets.Value("string")
  • "num_speakers": datasets.Value("string")
  • "speaker_id": datasets.Value("string")
  • "audio": datasets.Audio(sampling_rate=16_000)