International Journal of Scientific Research and Engineering Development

In Audio deepfake detection uncovers fake audio recordings, ensuring that digital audio remains honest and trustworthy. Our model, trained on a diverse set of real and synthetic audio samples, achieves high accuracy in identifying audio deepfakes and restoring confidence in digital media.By RNN (Recurrent Neural Networks) analysis our approach effectively distinguishes between authentic and fake recordings, supporting the authenticity of digital audio. This study presents a machine learning method for detecting fake audio, helping determine whether a recording is real or computer-generated.