Name
Abstract | ||
|---|---|---|
We present a multimode spectral coding algorithm which employs the enhanced MBE (EMBE) spectral model and a new spectral quantization technique called transformed variable dimension vector quantization (TVDVQ) offering good speech quality at low rate. The EMBE model represents the short-term speech spectrum in a mode-specific way. TVDVQ encodes the variable-dimension spectral components efficiently at low complexity. The resulting 2.9 kb/s source coder offers good speech quality comparable to the 4.8 kb/s CELP 1016 and the 4.15 kb/s IMBE coder. An additional 1.1 kb/s of channel coding preserves the speech quality and intelligibility quite well with up to 2% random bit errors. |
Year | Venue | Keywords |
|---|---|---|
1996 | EUSIPCO | channel coding,speech coding,speech,decoding,vector quantization |
Field | DocType | ISBN |
Speech coding,Vector sum excited linear prediction,Code-excited linear prediction,Computer science,Speech recognition,Vector quantization,Harmonic Vector Excitation Coding,Codec2,Quantization (signal processing),Linear predictive coding | Conference | 978-888-6179-83-6 |
Citations | PageRank | References |
3 | 0.52 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amitava Das | 1 | 198 | 42.49 |
| allen gersho | 2 | 3 | 1.19 |