Audio Watermarking

Audio watermarking embeds imperceptible messages into audio signals to verify authenticity, manage copyrights, or trace origins, addressing concerns around deepfakes and unauthorized content distribution. Current research emphasizes developing robust watermarking techniques using deep neural networks, often incorporating psychoacoustic models to ensure imperceptibility and employing innovative architectures like invertible dual-embedding or collaborative training schemes to enhance robustness against various attacks, including audio codecs and re-recording. This field is crucial for combating the spread of misinformation and protecting intellectual property in the increasingly prevalent digital audio landscape, with ongoing benchmarking efforts aiming to standardize evaluation and identify vulnerabilities in existing methods.