A ROBUST SPEECH COMMAND RECOGNIZER FOR EMBEDDED APPLICATIONS

Alexandre Maciel, Arlindo Veiga, Cláudio Neves, José Lopes, Carla Lopes, Fernando Perdigão, Luís Sá

Abstract

This paper describes a command-based robust speech recognition system for the Portuguese language. Due to an efficient noise reduction algorithm the system can be operated in adverse noise environments such as in cars or factories. The recognizer was trained and tested with a speech database with 250 commands spoken by 345 speakers in clean and noisy conditions. The system incorporates a user friendly application programming interface and was optimized for embedded platforms with limited computational resources. Performance tests for the recognizer are presented.

References

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Paper Citation


in Harvard Style

Maciel A., Veiga A., Neves C., Lopes J., Lopes C., Perdigão F. and Sá L. (2008). A ROBUST SPEECH COMMAND RECOGNIZER FOR EMBEDDED APPLICATIONS . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008) ISBN 978-989-8111-60-9, pages 92-95. DOI: 10.5220/0001938700920095


in Bibtex Style

@conference{sigmap08,
author={Alexandre Maciel and Arlindo Veiga and Cláudio Neves and José Lopes and Carla Lopes and Fernando Perdigão and Luís Sá},
title={A ROBUST SPEECH COMMAND RECOGNIZER FOR EMBEDDED APPLICATIONS},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008)},
year={2008},
pages={92-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001938700920095},
isbn={978-989-8111-60-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008)
TI - A ROBUST SPEECH COMMAND RECOGNIZER FOR EMBEDDED APPLICATIONS
SN - 978-989-8111-60-9
AU - Maciel A.
AU - Veiga A.
AU - Neves C.
AU - Lopes J.
AU - Lopes C.
AU - Perdigão F.
AU - Sá L.
PY - 2008
SP - 92
EP - 95
DO - 10.5220/0001938700920095