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Introduced a new model based on Deep Neural Networks (DNN) - Silero VAD DNN, resulting in improved speech detection capabilities;
Global Refactoring: The project underwent a comprehensive refactoring process, improving code structure, readability, and maintainability;
Transition to Kotlin: The entire project has been migrated from Java to Kotlin, leveraging the benefits of Kotlin's concise syntax and enhanced features;
Library and Dependency Updates: All libraries and dependencies have been updated to their latest versions, ensuring compatibility and incorporating bug fixes and performance improvements;
Added Kotlin Bom which will properly align all dependencies;
Integration of ONNX Runtime: The library now includes ONNX Runtime dependencies, enabling efficient execution of ONNX models and expanding the range of supported models.