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:

Acknowledgments

This model is developed and maintained by the Lattifai team.

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