Name
Abstract | ||
|---|---|---|
Coding audio material at low bit rates with a consistent qual- ity over a wide range of signals is a current and challeng- ing problem. The high-granularity switched speech and au- dio coder AMR-WB+ performs especially well for speech and mixed content by promptly adapting its coding model scheme to the signal. However, the high adaptation rate is done at the price of limited performance for non-speech sig- nals. The aim of the paper is to enhance the coding efficiency of AMR-WB+ while maintaining its high flexibility. For this purpose, the original DFT was replaced by the state-of-art transformation MDCT, and the vector quantization by the combination of a scalar quantization and an evolved context- adaptive arithmetic coder. The improvements were measured by both objective and subjective evaluations. |
Year | Venue | Keywords |
|---|---|---|
2009 | EUSIPCO | adaptive codes,audio coding,discrete cosine transforms,quantisation (signal),speech coding,mdct based coder,adaptive speech coding,evolved context adaptive arithmetic coder,high granularity switched speech,scalar quantization |
Field | DocType | ISBN |
Speech processing,Speech coding,Adaptive Multi-Rate audio codec,Voice activity detection,Speech recognition,Vector quantization,Sub-band coding,Harmonic Vector Excitation Coding,Mathematics,Linear predictive coding | Conference | 978-161-7388-76-7 |
Citations | PageRank | References |
9 | 1.10 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guillaume Fuchs | 1 | 38 | 7.84 |
| Markus Multrus | 2 | 36 | 4.06 |
| Neuendorf, M. | 3 | 9 | 1.10 |
| R. Geiger | 4 | 42 | 5.79 |