Name
Abstract | ||
|---|---|---|
Several state-of-the-art switched audio codecs employ the closed-loop mode decision to select the best coding mode at every frame. The closed-loop mode selection is known to have good performance but also high complexity. The new approach we propose in this paper is a low-complexity version of the closed-loop approach, based on similar decisions which compute the coding distortion of each mode and select the one with the lowest distortion. Our approach differs mainly in the way the coding distortions are calculated. We are able to notably reduce the complexity by only estimating the distortions without encoding and decoding the input for each mode. The new approach was implemented in the EVS codec standard and evaluated both objectively and subjectively. Compared to the closed-loop approach, it yields similar performance and lower complexity. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) | Speech and audio coding, switched coding, mode decision, mode selection, closed-loop, open-loop |
Field | DocType | ISSN |
Speech coding,Computer science,Artificial intelligence,Codec,Vector sum excited linear prediction,Coding tree unit,Pattern recognition,Adaptive Multi-Rate audio codec,Algorithm,Speech recognition,Sub-band coding,Harmonic Vector Excitation Coding,Decoding methods | Conference | 1520-6149 |
Citations | PageRank | References |
3 | 0.50 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emmanuel Ravelli | 1 | 38 | 4.70 |
| Christian R. Helmrich | 2 | 30 | 4.87 |
| Guillaume Fuchs | 3 | 38 | 7.84 |
| Markus Multrus | 4 | 36 | 4.06 |