Spoken documents: creating searchable archives from continuous audio

Abstract

Current search technologies for audio rely on the cataloguer of the data to provide additional keywords or metadata to enable retrieval. This can lead to haphazard cataloging and misleading searches, and provides the end user with no summarization, editing, or information extraction capabilities. One obvious way to tackle this problem is to transcribe the speech-based audio using automatic speech recognition technology.