{'fraction_non_alphanumeric': 0.020253164556962026, 'fraction_numerical': 0.0, 'mean_word_length': 5.588888888888889, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Novel SVD and LWT Based Robust Blind Audio Water-marking Scheme

To efficiently protect copyright of digital audio products against illegal usage, in this paper, we present a robust, secure and Blind Audio Watermarking Algorithm based on Singular Value Decomposition (SVD) and Lifting Wavelet Transform (LWT) domain synchronization code, called BAWA-SL. More specifically, the synchronization code is embedded into the audio by leveraging the Quantization Index Modulation (QIM) to achieve blind extraction of watermarking. Furthermore, LWT instead of the traditional wavelet transform and discrete cosine transform is used. The synchronization code is embedded into low frequency coefficient of LWT domain and the low frequency coefficient is embedded into the maximum singular value obtained by SVD to improve the robustness of the proposed BAWA-SL. Moreover, the watermarking is encrypted by combing the improved cat transform and logistic transform to further improve the security of watermarking. Finally, the experimental results demonstrate that our proposed method obtains better performance than the chosen benchmarks in terms of security, signal to noise ratio and payload.