ONNX Model Zoo

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:

Acknowledgments

This model is developed and maintained by the LattifAI team.

Model info

onnx en zh de license:apache-2.0 region:us
↓ 12 ♥ 1

Created: 2025-11-28

Updated: 2026-01-18

View on Hugging Face

Files (10)

.gitattributes
README.md
acoustic_opt.onnx ONNX
config.json
event.bin
event.data
g2pp.bin
g2pp.safetensors
transition.bin
words.bin

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