DocumentCode :
270254
Title :
Error resilience enhancement for a robust ADPCM audio coding scheme
Author :
Simkus, G. ; Holters, M. ; Zölzer, Udo
Author_Institution :
Dept. of Signal Process. & Commun., Helmut Schmidt Univ. - Univ. of the Fed. Armed Forces, Hamburg, Germany
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
3685
Lastpage :
3689
Abstract :
This work comprises an extension of a backward adaptive quantizer which is employed together with a robust lattice predictor in an ADPCM coding scheme. Predictors of the ADPCM audio coding schemes are often considered as the part most sensitive to transmission errors. Nevertheless, a single transmission error causes a short destabilization of the adaptive quantizer at the decoder side. Therefore, this destabilization boosts the deviation of the prediction filter at the decoder from the encoder side. Desired damping of the quantizer shortens synchronization periods. However, damping leads to degradation of the quantizer´s adaptation properties and consequently to a decrease in audio quality. We show that the transmission of the quantizer´s envelope to the decoder in short intervals and in combination with envelope error detector reduces the impairment of the reconstructed audio signal in noisy transmissions. An objective audio quality evaluation confirms significant quality improvement at BER higher than 10-4 and no quality degradation if an ideal channel is employed.
Keywords :
audio coding; decoding; error statistics; quantisation (signal); signal reconstruction; BER; backward adaptive quantizer; damping; decoder side; destabilization; encoder side; envelope error detector; error resilience enhancement; noisy transmissions; objective audio quality evaluation; prediction filter; reconstructed audio signal; robust ADPCM audio coding; robust lattice predictor; single transmission error; Audio coding; Bit error rate; Decoding; Robustness; Speech; Speech coding; Audio coding; error robust transmission; linear predictive coding; robust ADPCM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854289
Filename :
6854289
Link To Document :
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