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.
Installation
pip install install-k2
install-k2 # Install k2 dependencies
pip install lattifai
Basic Usage
# 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
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:
@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
- Documentation: Lattifai Python SDK Documentation
Acknowledgments
This model is developed and maintained by the Lattifai team.
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