A Smart Home System Based on Speech Recognition Technology

Abstract:

In order to enhance the self-care ability of persons with disabilities and satisfy people's demand for intelligent control home appliance, a smart home system based on Microsoft speech synthesis and speech recognition technology is proposed. After the initialization of the system, it receive voice commands which send by users, while the system distinguish the voice signal, the system will call voice feedback module and request users to confirm the voice instructions, after users’ confirmation, the system will record the voice command and convert it to electrical control code which can be recognized by the general household appliances’ control system. One voice command recognition time was within 30 ms and one speech interaction process was within 3 second which shows the simply and efficiently control for appliances based on speech recognition technology.

• Periodical: Applied Mechanics and Materials (Volumes 713-715)
• Pages: 2123-2125
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.713-715.2123
• Online since: January 2015
• Authors: Wei Li*, Bai Hui Cui, Fa Wei Zhang, Xing Guo
• Keywords: Intelligent Control, Smart Home, Speech Recognition, Speech Synthesis, Voice Interactive System

References

[1] Wang Xiamen Liang Lingyan, Deng Ti, Wang Zhiliang. An assistive intelligent home control system design based on header information [A]. Proceedings of the 29th the Chinese control conference [C]. Beijing: China professional committee of automation control theory of society, 2010: 3527-3530.

[2] Sun Ping. Research and implementation of intelligent home gateway based on KNX agreement [D]. Nanjing: Nanjing University of Aeronautics and Astronautics, (2012).

[3] Guo Gang, Li Jinyu, Li Xiaobing, Liu Bo, Wang Renhua. Depicting embedded command word speech recognition system [J]. Journal of signal processing, 2004, 20 (5) : 525-528.

[4] Jing Jiamin, Liu Jia, Liu Runsheng. The application of the embedded system based on the HMM speech recognition technology [J]. Journal of electronic technology applications, 2003, 10, 12-14.

[5] Ma Hongxing, Wang Haikun, Liu Cong. The improved method of recognition confidence for Command word speech [J]. Computer and modernization, 2011, (10) : 146-149.

[6] Wang Renhua, Dai Lirong, Hu Yu, Ling Zhenhua. A new generation speech synthesis technology based on acoustic statistical modeling [J]. Journal of China university of science and technology, 2008, 38 (7) : 725-734.

[7] Wu Yijian, Wang Renhua. Training Chinese speech synthesis based on the HMM [J]. Journal of Chinese information, 2006, 20 (4) : 75-81.

[8] Huang Xu. The research and implementation of Continuous Speech recognition system based on Microsoft researched SDK [D]. Xiamen University, (2007).