LattifAI/Lattice-1
By LattifAI · ↓ 12 · ♥ 1 · Updated 2026-01-18
What's in this repo
This page lists the files in LattifAI/Lattice-1, including acoustic_opt.onnx.
- 1 ONNX models (.onnx files)
- 10 files, including 4 .bin, 1 .md, 1 .onnx, 1 .json, 1 .data, 1 .safetensors
- Last updated 2026-01-18
ONNX files
| File | Size | Download |
|---|---|---|
| acoustic_opt.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
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.
For more detailed usage instructions and API documentation, please visit: Lattifai Python SDK Documentation
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
Citation
If you use Lattice-1 in your research, please cite:
@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
- Documentation: LattifAI Python SDK Documentation
Acknowledgments
This model is developed and maintained by the LattifAI team.
Model info
Created: 2025-11-28
Updated: 2026-01-18
View on Hugging FaceFiles (10)
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