Search of spoken documents retrieves well recognized transcripts

  • Authors:
  • Mark Sanderson;Xiao Mang Shou

  • Affiliations:
  • Department of Information Studies, University of Sheffield, Sheffield, UK;Department of Information Studies, University of Sheffield, Sheffield, UK

  • Venue:
  • ECIR'07 Proceedings of the 29th European conference on IR research
  • Year:
  • 2007
  • Speech and Hand Transcribed Retrieval

    Information Retrieval Techniques for Speech Applications [this book is based on the workshop “Information Retrieval Techniques for Speech Applications”, held as part of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in New Orleans, USA, in September 2001].

  • Perspectives on Information Retrieval and Speech

    Information Retrieval Techniques for Speech Applications [this book is based on the workshop “Information Retrieval Techniques for Speech Applications”, held as part of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in New Orleans, USA, in September 2001].

  • An Investigation of Mixed-Media Information Retrieval

    ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries

  • Minimizing word error rate in textual summaries of spoken language

    NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference

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Abstract

This paper presents a series of analyses and experiments on spoken document retrieval systems: search engines that retrieve transcripts produced by speech recognizers. Results show that transcripts that match queries well tend to be recognized more accurately than transcripts that match a query less well. This result was described in past literature, however, no study or explanation of the effect has been provided until now. This paper provides such an analysis showing a relationship between word error rate and query length. The paper expands on past research by increasing the number of recognitions systems that are tested as well as showing the effect in an operational speech retrieval system. Potential future lines of enquiry are also described.