Abstract | ||
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In this paper, we apply a new structural approach to generalized analysis-by-synthesis (GAbS) for system identification as a preprocessor of a low-bit-rate speech coder. In our approach, the coder-decoder (CODEC) system is separately estimated and then applied to mod- ify the current input signal. This is different from that originally proposed where the CODEC system is sequen- tially estimated and then applied to the next input signal. The proposed estimation scheme is compared to the con- ventional method in terms of the signal modification ap- proach under the various noise data and in several SNR conditions, and shows better performance. |
Year | Venue | Keywords |
---|---|---|
2005 | INTERSPEECH | speech coding,system identification,analysis by synthesis |
Field | DocType | Citations |
Low bit rate,Speech coding,Pattern recognition,Computer science,Adaptive Multi-Rate audio codec,Speech recognition,Preprocessor,Artificial intelligence,System identification,Codec,Structural approach | Conference | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Joon-Hyuk Chang | 1 | 83 | 6.64 |
Jongwon Shin | 2 | 16 | 2.47 |
Seung Yeol Lee | 3 | 32 | 3.98 |
Nam Soo Kim | 4 | 275 | 29.16 |