• DocumentCode
    2197799
  • Title

    Design and Realization of Music Recognition Based on Speech Recognition

  • Author

    Zhong, Yubin ; Xiang, Yi

  • Author_Institution
    Sch. of Math. & Inf. Sci., Guangzhou Univ., Guangzhou, China
  • Volume
    2
  • fYear
    2011
  • fDate
    14-15 May 2011
  • Firstpage
    58
  • Lastpage
    62
  • Abstract
    This paper propounds a new music recognition method which is based on singing splitting, MFCC characteristic parameter and BP Neural Network, and the origin of this idea comes from speech recognition. Firstly, fundamentals and key techniques of speech recognition are presented. In what flows is a brief introduction to a music recognition system that is designed and implemented by comparing speech recognition and music recognition. Then, we illustrate applications of BP neural network in music recognition. Finally, 10 English songs are chosen as experiment subjects and are inputted into the music recognition system. The experiment results show that this music recognition method which combines speech recognition can effectively recognize music signals.
  • Keywords
    backpropagation; music; neural nets; speech recognition; BP neural network; MFCC characteristic parameter; music recognition method; singing splitting; speech recognition; Artificial neural networks; Hidden Markov models; Mel frequency cepstral coefficient; Multiple signal classification; Speech; Speech recognition; Training; BP neural network; MFCC characteristic parameters extracting; music recognition; singing splitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Computing and Information Security (NCIS), 2011 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-61284-347-6
  • Type

    conf

  • DOI
    10.1109/NCIS.2011.110
  • Filename
    5948793