Spoken term detection from bilingual spontaneous speech using code-switched lattice-based structures for words and subword units
Journal
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2009
Pages
410-415
Date Issued
2009
Author(s)
Abstract
This paper presents the first work known publicly on spoken term detection from bilingual spontaneous speech using code-switched lattice-based structures for word and subword units. The corpus used is the lectures with Chinese as the host language and English as the guest language recorded for a real course offered in National Taiwan University. The techniques reported here have been successfully implemented and tested in a real lecture system now available on-line over the Internet. We also present the approaches of using word fragment as the subword unit for English, and analyse the difficult issues when code-switched lattice-based structures for subword units are used for tasks involving languages of quite different natures.
SDGs
Type
conference paper