Speech and Hand Transcribed Retrieval

Authors:
Mark Sanderson;Xiao Mang Shou
Affiliations:
-;-
Venue:
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].
Year:
2001

Citing 2
Cited 2

Document expansion for speech retrieval

Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Mixing and Merging for Spoken Document Retrieval

ECDL '98 Proceedings of the Second European Conference on Research and Advanced Technology for Digital Libraries

ACM SIGIR 2001 workshop "Information Retrieval Techniques for Speech Applications"

ACM SIGIR Forum
Search of spoken documents retrieves well recognized transcripts

ECIR'07 Proceedings of the 29th European conference on IR research

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Abstract

This paper describes the issues and preliminary work involved in the creation of an information retrieval system that will manage the retrieval from collections composed of both speech recognised and ordinary text documents. In previous work, it has been shown that because of recognition errors, ordinary documents are generally retrieved in preference to recognised ones. Means of correcting or eliminating the observed bias is the subject of this paper. Initial ideas and some preliminary results are presented.