Thesis (Ph. D.)--University of Washington, 1999. / Vita. Includes bibliographical references (leaves 196-201).

Thesis (Ph. D.)--Auburn University. / Abstract. Vita. Includes bibliographical references (p. 71-75).

Thesis (Ph. D.)--University of Washington, 2000. / Vita. Includes bibliographical references (leaves 91-98).

Thesis (Ph. D.)--University of Washington, 1992. / Vita. Includes bibliographical references (leaves [134]-140).

Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2005. / Includes bibliographical references (leaves 66-70). Also available in electronic version.

Thesis (MSc)--University of Stellenbosch, 2005. / Bibliography. Also available via the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 2007. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on September 25, 2007) Vita. Includes bibliographical references.

Thesis (Ed. D.)--West Virginia University, 2007. / Title from document title page. Document formatted into pages; contains viii, 175 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 155-161).

Thesis (Ph. D.)--University of Washington, 2006. / Vita. Includes bibliographical references (p. 115-124).

Η παρούσα διπλωματική εργασία αναφέρεται σε ένα αυτόματο σύστημα αναγνώρισης με χρήση της ομιλίας, και πιο συγκεκριμένα σε ένα σύστημα αναγνώρισης φύλου μέσω ομιλίας. Αναλύεται η δομή του, περιγράφεται η λειτουργία του και δίνονται οι λεπτομέρειες κάθε τμήματος του. Αρχικά, η εργασία επικεντρώνεται στην προεπεξεργασία του σήματος ομιλίας και στην εξαγωγή των κατάλληλων παραμέτρων, οι οποίες θα μπορέσουν να χαρακτηρίσουν κάθε φύλο. Στη συνέχεια, περιγράφεται η διαδικασία ταξινόμησης του συστήματος, οι αλγόριθμοι που χρησιμοποιούνται και στο τέλος παρουσιάζονται τα ποσοστά επιτυχίας. Τα αποτελέσματα υποδεικνύουν και το βέλτιστο σύνολο παραμέτρων ομιλίας για αξιόπιστη αναγνώριση φύλου. / The purpose of this diploma thesis is the study of a gender recognition system based on speech. More specifically the system’s structure is analyzed, its functions are described and details regarding every single part are given. We focus on the preprocessing of the speech signal and the definition of the appropriate parameters that characterize every gender. Moreover, the methods, which are used for classification during the experimental setup, are described and be presented with their results. These results also suggest the optimized speech parameters appropriate for reliable gender recognition.