Publication Details
Information Retrieval from Spoken Documents
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT)
Schwarz Petr, Ing., Ph.D. (DCGM FIT BUT)
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT)
Schwarz Milan (Phonexia)
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT)
Karafiát Martin, Ing., Ph.D. (DCGM FIT BUT)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
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{FITPUB7922, author = "Michal Fap\v{s}o and Pavel Smr\v{z} and Petr Schwarz and Igor Sz\H{o}ke and Milan Schwarz and Jan \v{C}ernock\'{y} and Martin Karafi\'{a}t and Luk\'{a}\v{s} Burget", title = "Information Retrieval from Spoken Documents", pages = "410--416", booktitle = "Proceedings of the Seventh International Conference on Intelligent Text Processing and Computational Linguistics (CICLING 2006)", year = 2006, location = "Mexico City, MX", publisher = "Springer Verlag", ISBN = "3-540-32205-1", language = "english", url = "https://www.fit.vut.cz/research/publication/7922" }