Datasets:
File size: 1,275 Bytes
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license: apache-2.0
task_categories:
- text-to-speech
language:
- en
tags:
- synthetic
- tts
- audio
size_categories:
- n<1K
---
# Audio8 TTS Realistic - synthetic voice dataset
Synthetic speech generated with [Edge0/Audio8-TTS-Realistic-0.6b](https://huggingface.co/Edge0/Audio8-TTS-Realistic-0.6b).
- **Clips:** 40
- **Total audio:** 0.12 hours
- **Sample rate:** 44100 Hz, mono, 16-bit
- **Clip length:** 8-15 seconds
- **Language:** English
- **Voice:** No reference voice was used, so speakers vary from clip to clip.
- **Text:** written by a small LLM (Qwen/Qwen2.5-0.5B-Instruct) unless a custom text file was supplied
## Columns
| column | description |
|---|---|
| `id` | unique clip id |
| `audio` | the waveform (embedded, decoded by `datasets`) |
| `text` | the spoken text |
| `language` | language name |
| `duration` | length in seconds |
## Usage
```python
from datasets import load_dataset
ds = load_dataset("Shadow0482/audio8-tts-realistic", split="train")
print(ds[0]["text"], ds[0]["audio"]["sampling_rate"])
```
## Notes
Fully synthetic audio. Clips were filtered automatically (silence, NaNs, runaway generations) but not
listened to individually, so expect occasional pronunciation errors. Please disclose synthetic audio when you use it.
|