Identity authentication audio watermarking algorithm based on deep learning

Abstract

The invention relates to an identity authentication audio watermarking algorithm based on deep learning. The identity authentication audio watermarking algorithm is characterized by comprising the steps: 1) performing face segmentation, mute removal and spectrum conversion preprocessing on a data set; 2) training a designed identity watermark generation model to extract identity features of a speaker from an audio; 3) training a designed watermark embedding-extracting combined model to self-adaptively complete embedding and extracting of the watermark; 4) selecting proper weight ratio parameters through experiments, and adding robustness of a noise enhancement algorithm; and 5) visually completing identity authentication of the speaker. According to the invention, the dynamic identity authentication watermark information is generated from the speaker audio based on a generative adversarial model; the identity watermark is embedded and extracted based on an auto-encoder, and finally, identity authentication is carried out in a visual dynamic effect self-adaptive embedding and extracting mode different from a traditional static information and manual design scheme, so that the security of the audio information is ensured.

Description

technical field [0001] The present invention belongs to the fields of information security, audio digital watermarking and deep learning, and relates to the entire audio watermarking process of watermark information generation, watermark embedding and extraction, and watermark performance evaluation, and in particular to an identity authentication audio watermarking algorithm based on deep learning. Background technique [0002] As an efficient communication method under the development of the Internet, digital media technology has been developed rapidly and widely used, which makes the storage, transmission and replication of data extremely convenient. While the high degree of digitalization of information brings great convenience to people, due to the lack of timely follow-up of protection measures, there are great hidden dangers in information security, and various information security issues such as data leakage and network piracy have occurred frequently recently. As an...

AI Technical Summary

Problems solved by technology

The simplest solution for audio processing is to directly process the entire audio signal, but this method has a large computational cost due to the direct processing of long audio signals, and the possibility of practical use is very small

Images