Thesis Details
Vyhledávání v záznamech řeči
This thesis 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. This paper discusses an optimized indexing system for efficient search in the complex and large data structures which are the output of the recognizer.
Search, search in speech, search in lattices, indexing, lattice indexing, phoneme search, LVCSR search
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), člen
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Křena Bohuslav, Ing., Ph.D. (DITS FIT BUT), člen
Šlapal Josef, prof. RNDr., CSc. (DADM FME BUT), člen
@mastersthesis{FITMT4952, author = "Michal Fap\v{s}o", type = "Master's thesis", title = "Vyhled\'{a}v\'{a}n\'{i} v z\'{a}znamech \v{r}e\v{c}i", school = "Brno University of Technology, Faculty of Information Technology", year = 2007, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/4952/" }