Publication Details
Search Engine for Information Retrieval from Speech Records
Schwarz Petr, Ing., Ph.D. (DCGM)
Szőke Igor, Ing., Ph.D. (DCGM)
Smrž Pavel, doc. RNDr., Ph.D. (DCGM)
Schwarz Milan
Černocký Jan, prof. Dr. Ing. (DCGM)
Karafiát Martin, Ing., Ph.D. (DCGM)
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
multimedia information retrieval, speech databases
This paper describes a designed and implemented system for efficient storage,
indexing and search in collections of spoken documents that takes advantage
of automatic speech recognition. As the quality of current speech
recognizers is not sufficient for a great deal of applications, it is
necessary to index the ambiguous output of the recognition, i.\,e. the
acyclic graphs of word hypotheses --- recognition lattices. Then, it is not
possible to directly apply the standard methods known from text-based systems.
The paper discusses an optimized indexing system for efficient search in the
complex and large data structure that has been developed by our group. The
search engine works as a server. The meeting browser JFerret, developed withing
the European AMI project, is used as a client to browse search results.
@inproceedings{BUT22170,
author="Michal {Fapšo} and Petr {Schwarz} and Igor {Szőke} and Pavel {Smrž} and Milan {Schwarz} and Jan {Černocký} and Martin {Karafiát} and Lukáš {Burget}",
title="Search Engine for Information Retrieval from Speech Records",
booktitle="Proceedings of the Third International Seminar on Computer Treatment of Slavic and East European Languages",
year="2006",
pages="100--101",
address="Bratislava",
url="http://www.fit.vutbr.cz/~smrz/pdf/slovko2005_xfapso00_et_al.pdf"
}