• DocumentCode
    3756192
  • Title

    Vietnamese Voice Recognition for Home Automation using MFCC and DTW Techniques

  • Author

    Minh-Son Nguyen;Tu-Lanh Vo

  • Author_Institution
    Fac. of Comput. Eng., Univ. of Inf. Technol. in VNUHCM, Hi Chi Minh City, Vietnam
  • fYear
    2015
  • Firstpage
    150
  • Lastpage
    156
  • Abstract
    Home automation with voice recognition can achieve a high level of performance in real world environment. However, such performance drops significantly in mismatched noisy conditions. To solve this problem, we propose a improvement method to extract Mel Frequency Cepstral Coefficients (MFCC) that increase the accuracy up to 20% than traditional method. This paper describes an approach of speech recognition for home automation in Vietnamese language by using the improvement MFCC and Dynamic Time Warping (DTW).
  • Keywords
    "Speech recognition","Speech","Hidden Markov models","Mel frequency cepstral coefficient","Feature extraction","Pattern matching"
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing and Applications (ACOMP), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ACOMP.2015.18
  • Filename
    7422388
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3756192