• DocumentCode
    1576070
  • Title

    Talking Condition Identification Using Second-Order Hidden Markov Models

  • Author

    Shahin, Ismail

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Sharjah, Sharjah
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This work focuses on enhancing the performance of text-dependent and speaker- dependent talking condition identification systems using second-order hidden Markov models (HMM2s). Our results show that the talking condition identification performance based on HMM2s has been improved significantly compared to first-order hidden Markov models (HMMls). Our talking conditions in this work are neutral, shouted, loud, angry, happy, and fear.
  • Keywords
    hidden Markov models; speech recognition; second-order hidden Markov model; talking condition identification; Emotion recognition; Hidden Markov models; Markov processes; Power system modeling; Probability density function; Probability distribution; Speaker recognition; Speech recognition; Stochastic processes; Testing; confusion matrix; second-order hidden Markov models; talking condition identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
  • Conference_Location
    Damascus
  • Print_ISBN
    978-1-4244-1751-3
  • Electronic_ISBN
    978-1-4244-1752-0
  • Type

    conf

  • DOI
    10.1109/ICTTA.2008.4530032
  • Filename
    4530032
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1576070