Pavel Ircing

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This paper introduces a novel method for automatic annotation of images with keywords from a generic vocabulary of <i>concepts</i> or objects for the purpose of content-based image retrieval. An image, represented as sequence of feature-vectors characterizing low-level visual features such as color, texture or oriented-edges, is modeled as having been(More)
This paper describes LVCSR research into the automatic transcription of spontaneous Czech speech in the MALACH (Multilingual Access to Large Spoken Archives) project. This project attempts to provide improved access to the large multilingual spoken archives collected by the Survivors of the Shoah Visual History Foundation (VHF) ( by advancing(More)
In this paper we describe a novel approach for jointly modeling the text and the visual components of multimedia documents for the purpose of information retrieval(IR). We propose a novel framework where individual components are developed to model different relationships between documents and queries and then combined into a joint retrieval framework. In(More)
This paper describes the design of the first large-scale IR test collection built for the Czech language. The creation of this collection also happens to be very challenging, as it is based on a continuous text stream from automatic transcription of spontaneous speech and thus lacks clearly defined document boundaries. All aspects of the collection building(More)
This paper describes the 3.5-years effort put into building LVCSR systems for recognition of spontaneous speech of Czech, Russian, and Slovak witnesses of the Holocaust in the MALACH project. For processing of colloquial, highly emotional and heavily accented speech of elderly people containing many non-speech events we have developed techniques that very(More)
A coupled acousticand language-modeling approach is presented for the recognition of spontaneous speech primarily in agglutinative languages. The effectiveness of the approach in large vocabulary spontaneous speech recognition is demonstrated on the Hungarian MALACH corpus. The derivation of morphs from word forms is based on a statistical morphological(More)
Automatic speech recognition, or more precisely language modeling, of the Czech language has to face challenges that are not present in the language modeling of English. Those include mainly the rapid vocabulary growth and closely connected unreliable estimates of the language model parameters. These phenomena are caused mostly by the highly inflectional(More)