Advances in AI technology have made voice cloning increasingly accessible, leading to a rise in fraud involving AI-generated audio forgeries. This highlights the need to covertly embed information and verify the authenticity and integrity of audio. Digital Audio Watermarking plays a crucial role in this context. This study presents an improved Phase Coding audio steganography algorithm that segments the audio signal dynamically, embedding data into the mid-frequency phase components. This approach enhances resistance to steganalysis, simplifies computation, and ensures secure audio integrity.