Vehicle Embedded Speech Recognition and Control System Research and Implementation

Yang Xu; Zhe Zhang; Zhi Yu Huang

doi:10.4028/www.scientific.net/AMM.494-495.104

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Study on the Fuel-Saving Efficiency of Electric Vehicles under Empirical Test
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Thermal Management System Design and Simulation of Battery Pack for Electric Vehicles
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Vehicle Embedded Speech Recognition and Control System Research and Implementation
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 494-495Vehicle Embedded Speech Recognition and Control...

Vehicle Embedded Speech Recognition and Control System Research and Implementation

Abstract:

For the driver in the process of moving inconvenient to manually operated vehicle electronics, as well as the monopoly of foreign technology and other issues related , a framework based on DSP + MCU car speech recognition and control systems is designed. According to the embedded application environment, the corresponding recognition algorithm and the hardware architecture of DSP + MCU are chosen, in which DSP is mainly responsible for voice signal processing work, MCU is responsible for communicating with DSP and MCU to obtain recognition results after speech signal processing, as the final control instructions .The experimental results show that the hardware platform can run normally, and control the car body light on experimental bench.

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Periodical:

Applied Mechanics and Materials (Volumes 494-495)

Pages:

104-107

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.494-495.104

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Online since:

February 2014

Authors:

Yang Xu*, Zhe Zhang, Zhi Yu Huang

Keywords:

Control System, DSP, Embedded, Speech Recognition

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* - Corresponding Author

References

[1] L. Rabiner and B. H. Juang. Fundamentals of Speech Recognition, Prentice-Hall, (1983).

Google Scholar

[2] Zhang Xiongwei, Chen Liang, Xu Guanghui. Principle and application of DSP chip, Beijing: electronic industry press, (2004).

Google Scholar

[3] Cheng Lan, Cui Yaliang. Design of UART Communication System Based on TMS320C55x DSP, Microcomputer information. 2008. 5. 27-31.

Google Scholar

[4] X. He, L. Deng, Speech recognition, machine translation, speech translation: A unified discriminative learning paradigm, IEEE Signal Process. Mag, vol. 27, no. 5, pp.126-133, (2011).

DOI: 10.1109/msp.2011.941852

Google Scholar

[5] S. Zhang and M. Gales, Structured SVMs for automatic speech recognition, IEEE Trans. Audio, Speech, Lang. Process., vol. 21, no. 3, pp.544-555, (2013).

DOI: 10.1109/tasl.2012.2227734

Google Scholar