• DocumentCode
    727925
  • Title

    Different strategies in the development of ANFIS to recognize vowels

  • Author

    Valencia-Jimenez, Jesus Julian ; Fernandez-Caballero, Antonio

  • Author_Institution
    Inst. de Investig. en Inf. de Albacete, Univ. de Castilla-La Mancha, Albacete, Spain
  • fYear
    2015
  • fDate
    17-20 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This document is the result of a first approach to recognizing vowels through using Adaptive Neuro-Fuzzy Inference Systems (ANFIS), applying different strategies to train these systems. The tests perform with data from a same speaker used for training and checking; also from another speaker with different gender for checking. Training data are established minimally. Different strategies are applied and the use of cloning with variation of data is verified. The results provide a comparison of different strategies to improve vowel recognition on a specific speaker who trained the system, and another speaker of different gender who did not participate during the training of the system.
  • Keywords
    fuzzy neural nets; fuzzy reasoning; gender issues; natural language processing; speaker recognition; ANFIS development; adaptive neuro-fuzzy inference systems; speaker gender; speaker recognition; vowel recognition; Adaptive systems; Artificial neural networks; Hidden Markov models; MATLAB; Mathematical model; Silicon compounds; Training; ANFIS; neuro-fuzzy systems; speaker recognition; speech processing; speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Systems and Technologies (CISTI), 2015 10th Iberian Conference on
  • Conference_Location
    Aveiro
  • Type

    conf

  • DOI
    10.1109/CISTI.2015.7170607
  • Filename
    7170607