Matús Pleva

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This paper describes a large scale experiment in which eight research institutions have tested their audio partitioning and labeling algorithms on the same data, a multi-lingual database of news broadcasts, using the same evaluation tools and protocols. The experiments have provide more insight in the cross-lingual robustness of the methods and they have(More)
This working paper provides the basic information about experiments conducted on audio documents within the MediaEval 2012 spoken web search evaluation project. The main purpose of these experiments was to build a robust and language independent system for spoken term detection. Therefore we have proposed query-by-example searching system based on the(More)
Audio classification is one of the most important task in content-based analysis and can be implemented in many audio applications, such as indexing and retrieving. This paper addresses the problem of broadcast news audio classification, by support vector machine - binary tree (SVM-BT) architecture, into the five classes: pure speech, speech with music,(More)
The purpose of this article is to describe a new method which is proposed to be the best practice for creating a very effective password candidate lists for specified language, which could be then also used to test the security level of wireless networks protected by WPA/WPA2 PSK standards. The main principle of this technique is to create the statistical(More)
This paper describes a pan-European multilingual audio and video database of broadcast news shows. The database was constructed by seven institutions that are collaborating in the European COST278 action on Spoken Language Interaction in Telecommunications. At present, the database comprises broadcast news shows in seven languages, namely Dutch, Portuguese,(More)
This paper describes the design, development and evaluation of the Slovak dictation system for the judicial domain. The speech is recorded using a close-talk microphone and the dictation system is used for online or offline automatic transcription. The system provides an automatic dictation tool for Slovak people working in the judicial domain, and can in(More)
An efficient acoustic events detection system EAR-TUKE is presented in this paper. The system is capable of processing continuous input audio stream in order to detect potentially dangerous acoustic events, specifically gunshots or breaking glass. The system is programmed entirely in C++ language (core math. functions in C) and was designed to be self(More)
Two approaches to QbE (Query-by-Example) retrieving system, proposed by the Technical University of Košice (TUKE) for the query by example search on speech task (QUESST), are presented in this paper. Our main interest was focused on building such QbE system, which is able to retrieve all given queries with and without using any external speech resources.(More)