CPA Enhancer

"CPA Enhancer" broadly refers to research on improving the performance of various systems by enhancing input data or intermediate representations. Current research focuses on developing adaptive enhancement methods, often employing deep learning architectures like attention-based encoder-decoder networks and transformers, to address challenges such as unknown degradations in image processing or unseen speaker counts in audio processing. These advancements aim to improve the robustness and accuracy of object detection, log analysis, speaker diarization, and other applications, ultimately leading to more efficient and reliable systems across diverse fields.