Word endpoint correction techniques for a text-to-multimedia composition system

Abstract

In concatenative Text-to-Multimedia composition systems, accurate endpoint detection of the uttered audio words, used as input into such systems, is needed to ensure optimal audio concatenation. In this paper, we outline a method of endpoint detection that takes advantage of the fact that the text of the audio word is known before endpoint detection actually takes place. From the text, the associated phonemes for an uttered audio word can be determined and used to fine tune the endpoint detection for a specific given phoneme.