An Experimental Study of an Audio Indexing System for the Web

摘要

We have developed a speech recognition based audio search engine for indexing spoken documents found on the World wide Web. Our site (http://www.compaq,com/speechbot) indexes around 20 news and talk radio shows covering a wide range of topics, speaking styles and acoustic conditions from a selection of public Web sites with multimedia archives. In this paper, we describe our system and its performance, focusing on the speech recognition and retrieal aspects. We describe our training procedure in soem detail and report our historical error rate since the site launch. We also investigate the impact of Our Of Vocabulary (OOV) words. Finally we report the resutls of retrieval experiments which demonstrate that our systme can index effectively.