International Journal of Research and Development in Engineering Sciences https://www.ijrdes.com G.Sravya 7 5 (September - October) 2025 09 September-October enNoise ReductionDLU-NetCross- Domain Denoising (Audio & Image)GUI. Unified framework for noise reduction in both audio and image domains using advanced deep learning techniques specifically a UNet architecture The application is designed to facilitate the denoising process for various types of noise including Salt and Pepper Gaussian Impulse White Noise and Environmental Noise in audio signals as well as for noisy images The framework leverages TensorFlow and Keras for model training and inference utilizing UNet models for audio and image denoising tasks Users can record or upload noisy audio files which are processed through a series of denoising techniques including spectral subtraction Wiener filtering and UNet The denoised audio can be played back visualized and saved for further use In the image processing module users can load noisy images and their corresponding ground truth images The application employs a UNet model to predict and display denoised images allowing for visual comparison with the original noisy images Additionally edge detection is performed on the images using the Canny edge detection algorithm providing insights into the structural integrity of the denoised outputs The graphical user interface GUI is built using Tkinter offering an intuitive experience for users to navigate through audio and image processing functionalities Copyright (c) 2026 International Journal of Research and Development in Engineering Sciences. All rights reserved. 2025 All Rights Reserved