---
title: Lattice-1-Alpha
canonical_url: "https://www.modelscope.cn/models/LattifAI/Lattice-1-Alpha"
md_url: "https://www.modelscope.cn/models/LattifAI/Lattice-1-Alpha.md"
repository: LattifAI/Lattice-1-Alpha
last_updated: 2025-12-30
license: apache-2.0
library_name:
  - onnx
  - safetensors
language:
  - en
downloads: 629
stars: 0
---

# Lattice-1-Alpha

> Lattice-1-Alpha - LattifAI 在 ModelScope 开源的模型。Lattice-1-Alpha is an advanced forced alignment model designed for precise word-level alignment between audio and text. This model provides state-of-the-art performance in aligning speech with its corresponding…

LattifAI/Lattice-1-Alpha 是 ModelScope 魔搭社区上的机器学习模型，采用 apache-2.0 许可。

- **Repository**: LattifAI/Lattice-1-Alpha
- **License**: apache-2.0
- **Downloads**: 629
- **Stars**: 0
- **Last updated**: 2025-12-30

Source: https://www.modelscope.cn/models/LattifAI/Lattice-1-Alpha

---

# Lattice-1-Alpha

## Model Description

Lattice-1-Alpha is an advanced forced alignment model designed for precise word-level alignment between audio and text. This model provides state-of-the-art performance in aligning speech with its corresponding word transcription, enabling accurate time-stamping of words in spoken language.

## Key Features

- **High-Precision Alignment**: Achieves accurate word-level forced alignment with millisecond precision
- **Language Support**: Currently supports English only. The upcoming **Lattice-1** release will support English, Chinese, and mixed English-Chinese content.
- **Efficient Processing**: Optimized for fast inference with ONNX runtime support
- **Flexible Integration**: Easy to integrate into various speech processing pipelines

## Quick Start with Python SDK

The easiest way to use Lattice-1-Alpha is through the **[Lattifai Python SDK](https://github.com/lattifai/lattifai-python)**.

### Installation

```bash
pip install install-k2
install-k2  # Install k2 dependencies

pip install lattifai
```

### Basic Usage

```shell
# Align audio with subtitle
lattifai align audio.wav subtitle.srt output.srt
```

For more detailed usage instructions and API documentation, please visit:
**[Lattifai Python SDK Documentation](https://github.com/lattifai/lattifai-python)**


## Applications

- **Speech Data Processing**: Creating high-quality training data for ASR, TTS, and Speech LLM systems
- **Pronunciation Assessment**: Evaluating learner pronunciation accuracy
- **Audio-Text Synchronization**: Subtitle generation and synchronization
- **Voice Conversion**: Time-aligned feature extraction for voice transformation

## Performance

Lattice-1-Alpha has been evaluated on standard benchmarks and demonstrates:
- High accuracy in word boundary detection
- Robust performance across different speaking styles
- Fast inference speed suitable for real-time applications

## Citation

If you use Lattice-1-Alpha in your research, please cite:

```bibtex
@misc{lattice1alpha,
  title={Lattice-1-Alpha: High-Precision Word-Level Forced Alignment},
  author={Lattifai Team},
  year={2025},
  publisher={Hugging Face},
  howpublished={\url{https://huggingface.co/lattifai/Lattice-1-Alpha}}
}
```

## License

Please refer to the license file for usage terms and conditions.

## Support

For issues, questions, or feature requests, please visit:
- GitHub: [https://github.com/lattifai/lattifai-python](https://github.com/lattifai/lattifai-python)
- Documentation: [Lattifai Python SDK Documentation](https://github.com/lattifai/lattifai-python?tab=readme-ov-file#quick-start)

## Acknowledgments

This model is developed and maintained by the Lattifai team.