Noise Cancellation Using Generative AI
This project aims to develop a noise cancellation system using a Generative Adversarial Network (GAN). The goal is to take a noisy audio file as input, generate the inverse waveform, and combine the two signals to achieve noise cancellation (i.e., producing silence). The project is implemented in Python, using libraries like PyTorch, Librosa, and Matplotlib, and includes the option for API integration (e.g., OpenAI or Google AI) for advanced audio processing.
