Name
Abstract | ||
|---|---|---|
A robust speech-analysis method based on an adaptive weighted least-squares lattice algorithm is introduced to improve the performance of conventional frame-based linear predictive coding analysis. The likelihood variable, which can be considered as a statistic measure of nonGaussian components, is used to de-weight the excitation interval. The likelihood variable can also be considered as a useful statistic for detecting outliers. Short analysis windows, with optimal frame position placement determined according to local minimum of the likelihood variable and residual, are adopted to mimic glottis-closure analysis. Experiments on both synthetic speech and real speech are included to show that the algorithm offers improved formant estimation accuracy in comparison to the frame-based method |
Year | DOI | Venue |
|---|---|---|
1988 | 10.1109/ICPR.1988.28203 | ICPR |
Keywords | Field | DocType |
encoding,filtering and prediction theory,speech analysis and processing,adaptive lattice filter,adaptive weighted least-squares lattice algorithm,frame position placement,likelihood variable,linear predictive coding,speech-analysis,windows,lattices,robustness,predictive models,statistics,algorithm design and analysis,lifting equipment,adaptive filters | Residual,Lattice phase equaliser,Pattern recognition,Statistic,Computer science,Outlier,Linear prediction,Artificial intelligence,Formant,Linear predictive coding,Encoding (memory) | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuedong Huang | 1 | 1390 | 283.19 |
| G. Duncan | 2 | 1 | 2.96 |
| Mervyn A. Jack | 3 | 191 | 43.58 |