Research and Implementation of Speaker Recognition System

Abstract:

language is the most natural to pass information, the most effective and most convenient method, at the same time, because everyone there are differences in pronunciation organs and habits, by the speaker's voice to identify the identity will make process more convenient and effective. Its application can not only make the system of information security has been further guaranteed, you can also bring great convenience to users, increase the economic benefits of system operator. This paper first introduces the principle and the research of speaker recognition system, and then discussed the pretreatment of the feature parameters in speaker recognition system and the feature extraction process, finally discusses the implementation results and the test of speaker recognition system, shows that the system run correctly, the performance good, to achieve the desired effect.

• Periodical: Applied Mechanics and Materials (Volumes 416-417)
• Pages: 1331-1335
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.416-417.1331
• Online since: September 2013
• Authors: Bang Jun Cui
• Keywords: Feature Extraction, Language, Pretreatment, Speaker Recognition System

References

[1] Lu Guanming Li Haibo, liuli. Biometrics review [J]. Journal of nanjing university of posts and telecommunications (natural science edition), 2007, 27 (1) : 81-88.

[2] Deng Zongyuan, high silver cho, Yang Zhen, a speech excitation pulse approximation method based on the LPC residual [J]. Journal of nanjing university of posts and telecommunications (natural science edition), 2006, 26 (5) : 22-26.

[3] Yin Wenhui, goofy, BuXiangYuan. FM exciter in the pre-emphasis filter [J]. The design and implementation of electroacoustic technology, 2008, 32 (6) : 3-33.

[4] Zhao Li. Speech signal processing [M]. Beijing: mechanical industry press, 2005: 48-50.

[5] Mao Dawei Cao Hua. Based on the cepstrum coefficient and the complexity of speaker recognition [J]. Journal of biomedical engineering, 2006, 23 (4) : 582-586.

[6] Wang Jinming Zhang Xiongwei. Word recognition system of speech feature parameters of the study and simulation [J]. Journal of system simulation, 2003, (9) : 1276-2278.

[7] MiaoXianYi, yu a puma. The combination of speaker recognition in noisy environment feature extraction method [J]. Journal of signal processing. 2006, 22 (5) : 673-677.

[8] zhang wei, hu xiu, Wu Wenhu. Distance weighted vector quantization text independent speaker recognition [J]. Journal of tsinghua university (natural science edition), 2007, 5 (3) : 20-23.

[9] Bernd Burehard, Ronald Romer, Oliver, A Fox. A Single Chip Phoneme -based HMM researched and Recognition System For Consumer Application [J]. IEEE the Transactions on Consumer Electronics, 2010, 46 (3) : 48-50.

DOI: 10.1109/30.883473