Worked on enhancing the stability of the Voice Activity Detection streaming pipeline in the sherpa-onnx repository, focusing on audio buffer management during extended silence. Addressed a bug where incorrect buffer offsets led to unreliable recognition results, particularly in no-speech scenarios. The solution involved precise handling of audio segment boundaries, ensuring that the system processed the correct data and improved overall recognition accuracy. Collaborated closely with other contributors to optimize streaming outputs and reduce false non-speech events. Utilized Kotlin for Android development, applying expertise in streaming audio processing and voice recognition to deliver a more robust and production-ready pipeline.