Name
Abstract | ||
|---|---|---|
The automatic segmentation and parametrization based on the frequency analysis was used to compare with manually annotated phones. The phones boundaries were fixed in places of relatively large changes in the energy distribution between the frequency bands. Frequency parametrization and clustering enabled the division of phones into groups (clusters) according to their acoustic similarities. The results of performed experiments showed that analysis of the frequency properties only, results in correct segmentation but accuracy of recognition was about 20% only. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/SPA.2016.7763633 | 2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) |
Keywords | Field | DocType |
nonuniform segmentation,frequency parametrization,phones clustering | Training set,Data mining,Algorithm design,Parametrization,Segmentation,Computer science,Cluster analysis,Frequency analysis,Radio spectrum,Energy distribution | Conference |
ISSN | ISBN | Citations |
2326-0262 | 978-1-5090-2661-6 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stanisław Kacprzak | 1 | 16 | 2.73 |
| Mariusz Masior | 2 | 9 | 1.02 |
| Mariusz Ziólko | 3 | 16 | 4.96 |