Bogomir Horvat

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In this paper, 1 we propose a novel loss function for the overall risk criterion estimation of hidden Markov models. For continuous speech recognition, the overall risk criterion estimation with the proposed loss function aims to directly maximise word recognition accuracy on the training database. We propose reestimation equations for the HMM parameters,(More)
In this paper, we propose a novel discriminative objective function for the estimation of hidden Markov model (HMM) parameters, based on the calculation of overall risk. For continuous speech recognition, the algorithm minimises the risk of misclassification on the training database and thus maximises recognition accuracy. The calculation of the risk is(More)
This paper presents a novel computationally efficient voice activity detection (VAD) algorithm and emphasizes the importance of such algorithms in distributed speech recognition (DSR) systems. When using VAD algorithms in telecommunication systems, the required capacity of the speech transmission channel can be reduced if only the speech parts of the signal(More)
Automatic synthesis of speech from arbitrary text requires two basic operations: linguistic analysis of input text and speech waveform generation. The achieved quality of the second stage very much depends on the reliability and richness of information generated in the first stage. In this paper we discuss possibilities and problems of text analysis for(More)
This paper presents the Slovenian Broadcast News Database project that was started in year 2002 as cooperation between University of Maribor and Slovenian national broadcaster RTV Slovenia. The resulting database will be used for large vocabulary continuous speech recognition and multimedia database retrieval or archive indexation. First some organizational(More)
This paper addresses the problem of multilingual acoustic modelling for the design of multilingual speech recognisers. An agglomerative clustering algorithm for the definition of multilingual set of triphones is proposed. This clustering algorithm is based on the definition of an indirect distance measure for triphones defined as a weighted sum of the(More)