Name
Abstract | ||
|---|---|---|
Models based on linear prediction have been used for several decades in different areas of speech signal processing. While the linear approach has led to great advances in the last 40 years, it neglects nonlinearities present in the speech production mechanism. This paper compares the results of long-term nonlinear prediction based on second-order and third-order Volterra filters. Additional improvement can be obtained using fractionaldelay long-term prediction. Experimental results reveal that the proposed method outperforms linear long-term prediction techniques in terms of prediction gain. |
Year | Venue | Field |
|---|---|---|
2012 | ITG Conference on Speech Communication | Signal processing,Speech coding,Computer science,Volterra filters,Speech recognition,Linear prediction,Speech production,Linear predictive coding,Nonlinear prediction |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vladimir Despotovic | 1 | 4 | 6.07 |
| Norbert Goertz | 2 | 316 | 28.94 |
| Zoran Peric | 3 | 26 | 4.31 |