Salvato in:
| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2408.13277 |
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Sommario:
- 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.