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TETRA channel simulation for automatic speech recognition

 
: Stein, Daniel; Winkler, Thomas; Schwenninger, Jochen; Bardeli, Rolf

:
Preprint urn:nbn:de:0011-n-2249766 (2.1 MByte PDF)
MD5 Fingerprint: 2ce8e98a072c848551c52c031404470b
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Erstellt am: 22.3.2013


Institute of Electrical and Electronics Engineers -IEEE-; European Association for Signal Processing -EURASIP-:
20th European Signal Processing Conference, EUSIPCO 2012. Proceedings. Vol.3 : Palace of the Parliament, August 27-31, 2012, Bucharest, Romania
New York, NY: IEEE, 2012
ISBN: 978-1-4673-1068-0
S.1653-1657
European Signal Processing Conference (EUSIPCO) <20, 2012, Bucharest>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()
speech recognition; emergency broadcast radio

Abstract
The problem of deterioated automatic speech recognition performance for telecommunication devices like mobile phones is well-studied. However, few papers analyse the influence of emergency broadcast radio devices such as the Terrestrial Trunked Radio (TETRA), which is used for many public safety networks in Europe and Asia. In this paper, we dissect several aspects of the TETRA encoding scheme when transmitting over a dedicated emergency radio station by conducting experiments with original hardware and corresponding software simulations. We also offer a new technique for a cepstral mismatch compensation.

: http://publica.fraunhofer.de/dokumente/N-224976.html