SCAN - Speech Content Based Audio Navigator: A Systems Overview

Abstract

SCAN (Speech Content based Audio Navigator) is a spoken document retrieval system integrating speaker-independent, large-vocabulary speech recognition with information-retrieval to support query-based retrieval of information from speech archives. Initial development focused on the application of SCAN to the broadcast news domain. This paper provides an overview of this system, including a description of its graphical user interface which incorporates machine-generated speech transcripts to provide local contextual navigation and random access for browsing large speech databases. 1. INTRODUCTION We present an overview of SCAN (Speech Content based Audio Navigator), a system developed at AT&T Labs-Research which supports the retrieval, browsing and navigation of speech archives. The system consists of three components: (i) a speaker-independent large-vocabulary speech recognition engine which segments the speech archive and generates transcripts, (ii) an information-retrieval engine w...