---
title: Lattice-1
canonical_url: "https://www.modelscope.cn/models/LattifAI/Lattice-1"
md_url: "https://www.modelscope.cn/models/LattifAI/Lattice-1.md"
repository: LattifAI/Lattice-1
last_updated: 2026-01-18
license: apache-2.0
parameters: 29.3M
tensor_type:
  - F32
library_name:
  - onnx
  - safetensors
language:
  - en
  - zh
  - de
downloads: 2324
stars: 1
---

# Lattice-1

> Lattice-1 - LattifAI 在 ModelScope 开源的模型。Release Date: November 30, 2025

LattifAI/Lattice-1 是 ModelScope 魔搭社区上的 29.3M 参数机器学习模型，采用 apache-2.0 许可。

- **Repository**: LattifAI/Lattice-1
- **License**: apache-2.0
- **Parameters**: 29.3M
- **Downloads**: 2324
- **Stars**: 1
- **Last updated**: 2026-01-18

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

---

# Lattice-1

**Release Date:** November 30, 2025

## Model Description

Lattice-1 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
- **Multilingual Support**: Supports English, Chinese, and German, with support for mixed-language content
- **Efficient Processing**: Optimized for fast inference with ONNX runtime support
- **Flexible Integration**: Easy to integrate into various speech processing pipelines

## Supported Languages

Lattice-1 supports the following languages:
- 🇺🇸 English
- 🇨🇳 Chinese (中文)
- 🇩🇪 German (Deutsch)

## Quick Start with Python SDK

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

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

## Stay Connected

Follow us on Twitter/X for the latest updates: [@Lattifai_HQ](https://x.com/Lattifai_HQ)

## Citation

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

```bibtex
@misc{lattice1,
  title={Lattice-1: Multilingual High-Precision Word-Level Forced Alignment},
  author={LattifAI Team},
  year={2025},
  publisher={Hugging Face},
  howpublished={\url{https://huggingface.co/lattifai/Lattice-1}}
}
```

## 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.