A Low-Delay Audio Coder with Constrained-Entropy Quantization

We present a low-delay, constrained-entropy, backward adaptive, linear-predictive audio coder with low computational complexity. In contrast to most practical linear-predictive coders, the coder facilitates the exploitation of reverse waterfilling. The coder uses time-invariant quantization step siz...

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Vydáno v:2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics s. 191 - 194
Hlavní autoři: Li, Minyue, Kleijn, W. Bastiaan
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2007
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ISBN:9781424416189, 1424416183
ISSN:1931-1168
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Shrnutí:We present a low-delay, constrained-entropy, backward adaptive, linear-predictive audio coder with low computational complexity. In contrast to most practical linear-predictive coders, the coder facilitates the exploitation of reverse waterfilling. The coder uses time-invariant quantization step size and constrained-entropy coding, thus eliminating the convergence problems of backward adaptation near signal transitions. Yet rate variations are kept small by the usage of a mixture model density for the signal. The mixture model has the backward adapted model and a second model as components and the component probability is transmitted. Experimental results confirm the advantages of the coder structure and show that the coder provides good overall performance.
ISBN:9781424416189
1424416183
ISSN:1931-1168
DOI:10.1109/ASPAA.2007.4393029