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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) (www.vhf.org) by advancing(More)
In this paper, three speaker verification procedures are tested. All the procedures are based on Gaussian mixture models (GMM), however, they differ in the way, in which they use particular feature vectors of an utterance for speaker verification. A lot of experiments have been performed in a group of 329 speakers. The results showed that there is a(More)
Presented paper takes interest in a speaker identification problem. The attributes representing voice of a particular speaker are obtained from very short segments of the speech waveform corresponding only to one pitch period of vowels. The patterns formed from the samples of a pitch period waveform are either matched in time domain by use of a nonlinear(More)
The article introduces an expert system for the speaker verification task. Our main purpose was to design a tool for the combination of various speaker verification systems proposed for various operating conditions. First of all, the essential ideas are explained that made us design the expert system. Next section describes the structure of a rule-based(More)
In this paper we describe the initial stages of the ASR component of the MALACH (Multilingual Access to Large Spoken Archives) project. This project will attempt to provide improved access to the large multilingual spoken archives collected by the Survivors of the Shoah Visual History Foundation (VHF) by advancing the state of the art in automated speech(More)