Optimization of neural-network-based superdirective microphone-array system using a genetic algorithm

Access this Article

Search this Article

Author(s)

Abstract

A previous study indicated that superdirectivity is achieved with a microphone-array system consisting of seven microphones and a neural network. In this work, we aim to improve the directivity by optimizing the parameters of the neural network using a genetic algorithm. A computational simulation shows that the optimized system can produce superdirectivity with a half-width of five degrees. The optimized system improves the directivity because its side-lobes are suppressed by more than 10 dB compared with the results of the previous study. This suppression is also observed in terms of harmonic distortions. Moreover, in an examination using AM and FM waves as input signals, the optimized system achieves higher performances than those in the previous study.

Journal

  • Acoustical Science and Technology

    Acoustical Science and Technology 36(4), 326-332, 2015

    ACOUSTICAL SOCIETY OF JAPAN

Codes

  • NII Article ID (NAID)
    130005086491
  • NII NACSIS-CAT ID (NCID)
    AA11501808
  • Text Lang
    ENG
  • ISSN
    1346-3969
  • NDL Article ID
    026556436
  • NDL Call No.
    Z53-X48
  • Data Source
    NDL  J-STAGE 
Page Top