An automatic speech recognition system with speaker-independent identification support

Alexandru Caranica; Corneliu Burileanu

doi:10.1117/12.2072245

20 February 2015 An automatic speech recognition system with speaker-independent identification support

Alexandru Caranica, Corneliu Burileanu

Proceedings Volume 9258, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VII; 925834 (2015) https://doi.org/10.1117/12.2072245
Event: Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies 2014, 2014, Constanta, Romania

Abstract

The novelty of this work relies on the application of an open source research software toolkit (CMU Sphinx) to train, build and evaluate a speech recognition system, with speaker-independent support, for voice-controlled hardware applications. Moreover, we propose to use the trained acoustic model to successfully decode offline voice commands on embedded hardware, such as an ARMv6 low-cost SoC, Raspberry PI. This type of single-board computer, mainly used for educational and research activities, can serve as a proof-of-concept software and hardware stack for low cost voice automation systems.

Citation Download Citation

Alexandru Caranica and Corneliu Burileanu "An automatic speech recognition system with speaker-independent identification support", Proc. SPIE 9258, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VII, 925834 (20 February 2015); https://doi.org/10.1117/12.2072245

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