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---
language:
- en
license: mit
task_categories:
- text-to-speech
- automatic-speech-recognition
- audio-to-audio
pretty_name: Hailuo AI Voices Dataset
size_categories:
- 10K<n<100K
tags:
- audio
- speech
- voice
- text-to-speech
- UnlimitedBytes
dataset_info:
features:
- name: audio
dtype: audio
- name: transcription
dtype: string
- name: voice
dtype: string
- name: phonemes
dtype: int64
- name: language
dtype: string
- name: gender
dtype: string
---
# Hailuo AI Voices Dataset 🎤
[](https://huggingface.co./datasets/unlimitedbytes/hailuo-ai-voices)
[](https://huggingface.co./datasets/unlimitedbytes/hailuo-ai-voices/blob/main/LICENSE)
A curated collection of high-quality voice recordings with corresponding transcriptions and phoneme analysis. This dataset is designed for speech recognition, text-to-speech, and voice analysis tasks.
## 📊 Dataset Overview
The dataset provides a comprehensive collection of voice samples with the following features:
| Feature | Description |
|---------|------------|
| Audio Files | High-quality WAV format recordings |
| Transcription | Accurate transcriptions of each recording |
| Voice IDs | Unique identifiers for different speakers |
| Phoneme Counts | Number of phonemes in each utterance |
| Language | Language of the audio recording |
| Gender | Speaker's gender |
## 📊 Dataset Statistics
### Audio Duration Distribution
### Text Length Distribution
### Samples per Voice
### Key Metrics
- Total Samples: 68034
- Total Duration: 320.64 hours
- Average Duration: 16.97 seconds
- Average Text Length: 256.3 characters
## 🚀 Quick Start
```python
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("unlimitedbytes/hailuo-ai-voices", split="full")
# Explore a sample
example = dataset['train'][0]
print("📝 Text:", example['text'])
print("🎙️ Voice:", example['voice'])
print("🔤 Phonemes:", example['phonemes'])
```
## 📖 Dataset Structure
Each entry in the dataset contains:
```python
{
'audio': {
'path': str, # Path to the audio file
'array': np.array # Audio data as numpy array
},
'text': str, # Transcription of the audio
'voice': str, # Voice identifier (e.g., 'voice1')
'phonemes': int # Number of phonemes in the utterance
}
```
## 🔍 Data Composition
- Multiple voice recordings from different speakers
- Clean transcriptions for each audio sample
- Phonetic analysis with phoneme counts
- Consistent audio format (WAV)
## 🛠️ Use Cases
- Text-to-Speech (TTS) training
- Speech Recognition
- Voice Analysis
- Phoneme Studies
- Speech Synthesis
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](https://huggingface.co./datasets/unlimitedbytes/hailuo-ai-voices/blob/main/LICENSE) for details.
## 📚 Citation
If you use this dataset in your research, please cite:
```bibtex
@dataset{hailuo_ai_voices,
author = {UnlimitedBytes},
title = {Hailuo AI Voices Dataset},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co./datasets/unlimitedbytes/hailuo-ai-voices}
}
```
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