Name
Abstract | ||
|---|---|---|
Unified Speech and Audio Coding (USAC) is an emerging MPEG audio standard striving for efficiently representing both speech and music signals even in very low bitrate ranges. The reference codec takes an approach of unifying two state-of-the-art speech and audio coding structures in a single platform. This paper proposes an enhanced long term predictor (eLTP) that effectively utilizes periodic redundancies of inter- and intra- time frames. Experimental results with various types of input signals confirm the superiority of the proposed algorithm compared to the reference codec. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICASSP.2011.5946451 | ICASSP |
Keywords | Field | DocType |
enhanced long term predictor (eltp),audio coding,audio standard,music,usac,unified speech and audio coding (usac),enhanced long term predictor,mpeg,speech codecs,speech coding,prediction theory,codec,code standards,music signals,unified speech and audio coding,speech,decoding,transform coding,codecs | Speech coding,Pattern recognition,Voice activity detection,Adaptive Multi-Rate audio codec,Computer science,Transform coding,Speech recognition,Sub-band coding,Artificial intelligence,Codec2,Codec,Acoustic model | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4577-0537-3 | 978-1-4577-0537-3 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeongook Song | 1 | 1 | 1.16 |
| Hyen-O Oh | 2 | 27 | 6.04 |
| Hong-Goo Kang | 3 | 190 | 48.76 |