de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Impressum Kontakt Einloggen
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

Finding maximum margin segments in speech

MPG-Autoren
Es sind keine MPG-Autoren in der Publikation vorhanden
Externe Ressourcen
Es sind keine Externen Ressourcen verfügbar
Volltexte (frei zugänglich)

4ABB1D41d01.pdf
(Verlagsversion), 188KB

Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Pereiro Estevan, Y., Wan, V., & Scharenborg, O. (2007). Finding maximum margin segments in speech. Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference, IV, 937-940. doi:10.1109/ICASSP.2007.367225.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0012-D21C-9
Zusammenfassung
Maximum margin clustering (MMC) is a relatively new and promising kernel method. In this paper, we apply MMC to the task of unsupervised speech segmentation. We present three automatic speech segmentation methods based on MMC, which are tested on TIMIT and evaluated on the level of phoneme boundary detection. The results show that MMC is highly competitive with existing unsupervised methods for the automatic detection of phoneme boundaries. Furthermore, initial analyses show that MMC is a promising method for the automatic detection of sub-phonetic information in the speech signal.