Information Services banner Edinburgh Research Archive The University of Edinburgh crest

Edinburgh Research Archive >
Centre for Speech Technology Research >
CSTR publications >

Please use this identifier to cite or link to this item:

This item has been viewed 32 times in the last year. View Statistics

Files in This Item:

File Description SizeFormat
Salomon_King_Osborne_icslp2002.pdf73.86 kBAdobe PDFView/Open
Title: Framewise phone classification using support vector machines
Authors: Salomon, Jesper
King, Simon
Osborne, Miles
Issue Date: Sep-2002
Citation: In Proceedings ICSLP-2002] 7th International Conference on Spoken Language Processing (ICSLP2002 - INTERSPEECH 2002), Denver, Colorado, USA, September 16-20, 2002
Publisher: International Speech Communication Association
Abstract: We describe the use of Support Vector Machines for phonetic classification on the TIMIT corpus. Unlike previous work, in which entire phonemes are classified, our system operates in a framewise manner and is intended for use as the front-end of a hybrid system similar to ABBOT. We therefore avoid the problems of classifying variable-length vectors. Our frame-level phone classification accuracy on the complete TIMIT test set is competitive with other results from the literature. In addition, we address the serious problem of scaling Support Vector Machines by using the Kernel Fisher Discriminant.
Appears in Collections:CSTR publications
Linguistics and English Language publications

Items in ERA are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2013, and/or the original authors. Privacy and Cookies Policy