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Speaker authentication is a key problem in the speaker recognition system which has a direct impact on the recognition rate. Classic authentication method is hard to get accurate recognition. This paper puts forward a speaker authentication method based on the quantum tunnel theory, on the basis of analyzing quantum extraction of speech signal in order to explore the possibility and effectiveness for quantum algorithm of unstructured data, and provide a possible solution for identification of the authenticity of the speech signal which can be applied in big data or judicature. Results show that this new method can reduce the complexity of algorithm effectively, improve the discrimination, and provide a new direction for the speaker authentication. Introduction Since 1928 George Gamow used quantum tunnelling effect to explain the Alpha Decay of the nucleus, to the 2012 Marzena etc. proposed intertwining electron tunnelling with light [2], the quantum tunnelling effect has been applied in multiple areas, such as nuclear magnetic resonance, Josephson junction and scanning tunnelling microscopes [3]. Recent years, scientists tried to extend the tunnelling theory to classic wave in macroscopic scales [4]. In 2002, Suxia Yang did a research about ultrasound tunnelling through 3D phononic crystals [5], which described the tunnelling effect of sound wave crossing through the FCC tungsten carbide rod array in water. In 2006, Helios Sanchis-Alepuz research group built a Wannier Stark ladder in the elastic range by analogy photon [6], which revealed the relationship between amplitude of sound wave and the testing time. At the same year, Wengang Wang team discussed the resonant tunnelling of acoustic wave in 1D phononic crystal [7]. However, the quantum theory and application about speech are still in initial exploration phase till now. Many studies did researches only from the local point of view in an application or the original theory point, which didn’t realize the connotation of this theory. Therefore, this paper puts forward a speaker authentication method based on quantum tunnelling effect, which aims to explore the application of quantum tunnelling theory. Using the speakers’ unstructured data as a special case to solve authentication based on unstructured data which face the limitations based on a small data sample causation currently, and provides a possible research approach of authentication for structured and unstructured data in big data, which offers a solution based on macro forecast mechanism of microscopic explained for big data analysis technology. The simulation results show that the new method can reduce the complexity of algorithm and reach the desired effect at the same time. 817 Advances in Computer Science Research (ACRS), volume 54 International Conference on Computer Networks and Communication Technology (CNCT2016)

Speaker Authentication Method Based on Quantum Tunnelling Effect