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  ---
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  # Lattice-1
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  **Release Date:** November 30, 2025
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  ## Supported Languages
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  Lattice-1 supports the following languages:
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  - 🇨🇳 Chinese (中文)
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  - 🇩🇪 German (Deutsch)
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  ## Stay Connected
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  Follow us on Twitter/X for the latest updates: [@Lattifai_HQ](https://x.com/Lattifai_HQ)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ metrics:
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+ - accuracy
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  ---
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  # Lattice-1
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  **Release Date:** November 30, 2025
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+ ## Model Description
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+
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+ 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.
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+ ## Key Features
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+ - **High-Precision Alignment**: Achieves accurate word-level forced alignment with millisecond precision
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+ - **Multilingual Support**: Supports English, Chinese, and German, with support for mixed-language content
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+ - **Efficient Processing**: Optimized for fast inference with ONNX runtime support
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+ - **Flexible Integration**: Easy to integrate into various speech processing pipelines
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+
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  ## Supported Languages
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  Lattice-1 supports the following languages:
 
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  - 🇨🇳 Chinese (中文)
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  - 🇩🇪 German (Deutsch)
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+ ## Quick Start with Python SDK
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+ The easiest way to use Lattice-1 is through the **[Lattifai Python SDK](https://github.com/lattifai/lattifai-python)**.
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+ For more detailed usage instructions and API documentation, please visit:
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+ **[Lattifai Python SDK Documentation](https://github.com/lattifai/lattifai-python)**
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+
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+ ## Applications
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+ - **Speech Data Processing**: Creating high-quality training data for ASR, TTS, and Speech LLM systems
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+ - **Pronunciation Assessment**: Evaluating learner pronunciation accuracy
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+ - **Audio-Text Synchronization**: Subtitle generation and synchronization
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+ - **Voice Conversion**: Time-aligned feature extraction for voice transformation
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+
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+ ## Performance
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+ Lattice-1 has been evaluated on standard benchmarks and demonstrates:
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+ - High accuracy in word boundary detection
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+ - Robust performance across different speaking styles and languages
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+ - Fast inference speed suitable for real-time applications
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+
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  ## Stay Connected
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  Follow us on Twitter/X for the latest updates: [@Lattifai_HQ](https://x.com/Lattifai_HQ)
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+ ## Citation
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+ If you use Lattice-1 in your research, please cite:
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+ ```bibtex
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+ @misc{lattice1,
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+ title={Lattice-1: Multilingual High-Precision Word-Level Forced Alignment},
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+ author={LattifAI Team},
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+ year={2025},
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+ publisher={Hugging Face},
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+ howpublished={\url{https://huggingface.co/lattifai/Lattice-1}}
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+ }
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+ ```
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+
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+ ## License
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+ Please refer to the license file for usage terms and conditions.
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+ ## Support
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+ For issues, questions, or feature requests, please visit:
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+ - GitHub: [https://github.com/lattifai/lattifai-python](https://github.com/lattifai/lattifai-python)
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+ - Documentation: [LattifAI Python SDK Documentation](https://github.com/lattifai/lattifai-python?tab=readme-ov-file#quick-start)
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+ ## Acknowledgments
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+ This model is developed and maintained by the LattifAI team.