Now showing items 1-4 of 4

  • Analysis and Optimization of Telephone Speech Command Recognition System Performance in Noisy Environment 

    Novotny, J.; Sovka, Pavel; Uhlir, J. (Společnost pro radioelektronické inženýrství, 2004-04)
    This paper deals with the analysis and optimization of a speech command recognition system (SCRS) trained on Czech telephone database Speechdat(E) for use in a selected noisy environment. The SCRS is based on hidden Markov ...
  • Phonetic Alphabet for Speech Recognition of Czech 

    Nouza, J.; Psutka, J.; Uhlir, J. (Společnost pro radioelektronické inženýrství, 1997-12)
    In the paper we introduce and discuss an alphabet that has been proposed for phonemicly oriented automatic speech recognition. The alphabet, denoted as a PAC (Phonetic Alphabet for Czech) consists of 48 basic symbols that ...
  • Speech Defect Analysis Using Hidden Markov Models 

    Chaloupka, Z.; Uhlir, J. (Společnost pro radioelektronické inženýrství, 2007-04)
    The main aim of this paper is the analysis of speech deteriorated by a very rare disease, which induce epileptic seizures in a part of brain responsible for speech production. Speech defects, represented mostly by the ...
  • Study and Application of Silence Model Adaptation for Use in Telephone Speech Recognition System 

    Novotny, J.; Sovka, Pavel; Uhlir, J. (Společnost pro radioelektronické inženýrství, 2004-09)
    This paper addresses the problem of the mismatch between a silence model and background noises which often occurs in a telephone speech recognition system (SRS) application. At first, the use of parallel model combination ...