Search System for Audio and Video Lecture Content Using Auto-Recognized Transcripts

Abstract

An audio and video retrieval system that can search auto-recognized transcripts of lectures has been developed. A spoken term detection engine that can perform a fuzzy search are utilized to handle recognition errors, unknown words, and potential spelling variants. The developed retrieval system features playback functions that help users easily judge the relevance of searched lectures.