Name
Abstract | ||
|---|---|---|
Linear prediction (LP) is a prevalent source-filter separation method of speech production. One of the drawbacks of conventional LP-based approaches is the biasing of estimated formants by harmonic peaks. Methods such as discrete all-pole modeling and weighted LP have been proposed to overcome this problem, but they all use a linear frequency scale. This study proposes a new LP technique, frequenc... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LSP.2017.2665687 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Speech,Predictive models,Time-frequency analysis,Frequency estimation,Harmonic analysis,Sensitivity,Speech coding | Speech synthesis,Speech coding,Spectral envelope,Pattern recognition,Harmonic,Linear prediction,Parametric statistics,Artificial intelligence,Formant,Linear predictive coding,Mathematics | Journal |
Volume | Issue | ISSN |
24 | 4 | 1070-9908 |
Citations | PageRank | References |
2 | 0.37 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manu Airaksinen | 1 | 34 | 5.18 |
| Bajibabu Bollepalli | 2 | 22 | 7.17 |
| Jouni Pohjalainen | 3 | 138 | 10.54 |
| Paavo Alku | 4 | 728 | 98.07 |