• DocumentCode
    3586603
  • Title

    Optimized segmentation method of the vocal signal with predictive neural network

  • Author

    Zbancioc, Marius Dan ; Feraru, Silvia Monica

  • Author_Institution
    Inst. of Comput. Sci., Tech. Univ. Gheorghe Asachi of Iasi, Iaşi, Romania
  • fYear
    2014
  • Firstpage
    23
  • Lastpage
    26
  • Abstract
    This paper presents an efficient segmentation method which uses simple neural network architecture. The goal was to implement an automatic annotation instrument of the vocal signal, capable to make the separation between vowel and consonant signal, respectively pauses between utterances. This instrument is used in the features extraction from the vowels areas by an emotion recognition application for the Romanian language.
  • Keywords
    feature extraction; natural language processing; neural nets; speech processing; Romanian language; automatic annotation instrument; consonant signal; emotion recognition application; features extraction; optimized segmentation method; predictive neural network; vocal signal; Artificial neural networks; Biological neural networks; Hidden Markov models; Neurons; Prediction algorithms; Speech; Training; automatic annotation tool; consonant / vowel segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computers and Artificial Intelligence (ECAI), 2014 6th International Conference on
  • Print_ISBN
    978-1-4799-5478-0
  • Type

    conf

  • DOI
    10.1109/ECAI.2014.7090141
  • Filename
    7090141
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3586603