BibTeX:

@article{IJIRSTV2I9024,
     title={Audio Watermarking using DWT-SVD-BFO},
     author={Nancy Tayal and Nikita Sagar},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={9},
     pages={43--48},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I9024.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The main aim of this work is to develop a new watermarking algorithm within an existing discrete wavelet Transform (DWT) and singular value decomposition (SVD) framework. This resulted in the development of a combination of DWT-SVD-BFO (bacterial foraging optimization) watermarking algorithm. In this new implementation, the embedding depth was generated dynamically thereby rendering it more difficult for an attacker to remove, and watermark information was embedded by manipulation of the spectral components in the spatial domain thereby reducing any audible distortion. Further improvements were attained when the embedding criteria was based on bin location comparison instead of magnitude, thereby rendering it more robust against those attacks that interfere with the spectral magnitudes. The further aim of this thesis is to analyze the algorithm from a different perspective.

discrete wavelet Transform (DWT), singular value decomposition (SVD), VHS