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Proceedings Paper

An automatic speech recognition system with speaker-independent identification support
Author(s): Alexandru Caranica; Corneliu Burileanu
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Paper 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.

Paper Details

Date Published: 20 February 2015
PDF: 7 pages
Proc. SPIE 9258, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VII, 925834 (20 February 2015); doi: 10.1117/12.2072245
Show Author Affiliations
Alexandru Caranica, Constanta Maritime Univ. (Romania)
Corneliu Burileanu, Politehnica Univ. of Bucharest (Romania)

Published in SPIE Proceedings Vol. 9258:
Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VII
Ionica Cristea; Marian Vladescu; Razvan Tamas, Editor(s)

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