Bibliografické údaje¶
| Název | Automatic Pitch-Synchronous Phonetic Segmentation with Context-Independent HMMs |
| Autor | Matoušek, J. |
| Typ publikace | Článek v časopise, odborném periodiku |
| Periodikum | Lecture Notes in Artificial Intelligence: Text, Speech and Dialogue |
| Nakladatel | Springer / Berlin, Heidelberg |
| Svazek | 5729 |
| Strana | 178-185 |
| Rok | 2009 |
| ISBN | 978-3-642-04207-2 |
| ISSN | 0302-9743 |
Abstrakt¶
This paper deals with an HMM-based automatic phonetic segmentation (APS) system. In particular, the use of a pitch-synchronous (PS) coding scheme within the context-independent (CI) HMM-based APS system is examined and compared to the "more traditional'' pitch-asynchronous (PA) coding schemes for a given Czech male voice. For bootstrap-initialised CI-HMMs, exploited when some (manually) pre-segmented data are available, the proposed PS coding scheme performed best, especially in combination with CART-based refinement of the automatically segmented boundaries. For flat-start-initialised CI-HMMs, an inferior initialisation method used when no pre-segmented data are at disposal, standard PA coding schemes with longer parameterization shifts yielded better results. The results are also compared to the results obtained for APS systems with context-dependent (CD) HMMs. It was shown that, at least for the researched male voice, multiple-mixture CI-HMMs outperform CD-HMMs in the APS task.