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A Digital Audio Watermarking Algorithm Based on dwt-svd-ica

A DWT-SVD-ICA, digital audio technology, applied in speech analysis, instruments, etc., can solve problems such as insufficient robustness

Active Publication Date: 2019-03-22
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although most ICA-based watermarks have better imperceptibility, their robustness is still not strong enough

Method used

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  • A Digital Audio Watermarking Algorithm Based on dwt-svd-ica
  • A Digital Audio Watermarking Algorithm Based on dwt-svd-ica
  • A Digital Audio Watermarking Algorithm Based on dwt-svd-ica

Examples

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Embodiment Construction

[0048] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0049] In this example, figure 1 ICA model diagram given. figure 2 The watermark embedding process diagram of the present invention is given. The embedding process proceeds as follows:

[0050] Step 1: Preprocess the original audio, select a suitable segment and embed it with a watermark. Specific algorithm:

[0051] Assume that the short-term energy of the kth frame audio signal is given by E k , which is defined as follows:

[0052]

[0053] Wherein, N is the signal frame length. The energy of the audio frame reflects the strength of the audio signal in a certain period of time, E k The larger the value, the better the masking performance.

[0054] Set the zero-crossing rate of the audio signal of the kth frame to use Z k , which is defined as:

[0055]

[0056] in, The zero-crossing rate of an audio frame refers to t...

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PUM

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Abstract

The invention discloses a DWT-SVD-ICA-based digital audio watermarking algorithm. The algorithm is performed according to the following steps: the first step, preprocessing is performed on an original audio signal, and a watermark is embedded in a selected appropriate segment; the second step, when the watermark is embedded, three-level wavelet conversion is performed on the original audio signal, singular value decomposition is performed on an approximate component of the wavelet conversion, and then watermark embedment is completed by utilizing a random mixing method; and the third step, when the watermark is extracted, wavelet conversion and singular value decomposition are performed on the audio signal embedded with the watermark, and then watermark blind detection is achieved by utilizing a negentropy maximization fixed point algorithm. Compared with a traditional ICA-based audio watermarking algorithm, the DWT-SVD-ICA-based digital audio watermarking algorithm is advantageous in that watermark robustness is improved to some extent, that is to say, the watermark robustness is high; and imperceptibility of the watermark can be guaranteed, and blind extraction of the watermark can also be guaranteed.

Description

technical field [0001] The invention belongs to the technical field of digital audio watermarking, and in particular relates to a representation method of digital audio watermarking technology based on the combination of transformation domain and independent component analysis technology. Background technique [0002] Since Independent Component Analysis (ICA) is a very effective blind signal processing technique, its basic principle is to find out the hidden information components that are independent of each other by analyzing the high-order statistical correlation between multi-dimensional observation data, and complete the high-order analysis between components. Redundancy removal and independent source extraction, and digital watermarking technology is to embed or extract independent source signals in the watermark carrier. Therefore, the industry applies Independent Component Analysis (ICA) to the blind and semi-blind extraction of digital audio watermarks. At present...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L19/018
CPCG10L19/018
Inventor 唐向宏蔡倩何雨亭来伊丽夏凯莉李齐良
Owner HANGZHOU DIANZI UNIV
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