NURC-SP_ENTOA_TTS / README.md
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---
license: mit
---
## How to Load the Dataset
There are 2 configurations: **"prosodic"** and **"automatic"**. Below are the parameters for each configuration:
``` python
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)`