Musical noise analysis based on higher order statistics for microphone array and nonlinear signal processing

  • Authors:

  • Yu Takahashi;Yoshihisa Uemura;Hiroshi Saruwatari; Kiyorhiro Shikano; Kazunobu Kondo

  • Affiliations:

  • Nara Institute of Science and Technology, 630-0192 Japan;Nara Institute of Science and Technology, 630-0192 Japan;Nara Institute of Science and Technology, 630-0192 Japan;Nara Institute of Science and Technology, 630-0192 Japan;SA Group, Center for Advanced Sound Technologies, Yamaha Corp., Shizuoka, 438-0192 Japan

  • Venue:
  • ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
  • Year:
  • 2009

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Abstract

In this paper, we conduct an analysis for reduction of musical noise in integration method of microphone array signal processing and nonlinear signal processing. In these days, for better noise reduction, integration methods of microphone array signal processing and nonlinear signal processing have been researched. However, non-linear signal processing causes musical noise. Since such musical noise make users uncomfortable, it is desired that musical noise is mitigated. Moreover, in these days, it is reported that higher-order statistics is strongly related with the amount of generated musical noise. Thus, we analyze the integrated method of microphone array signal processing and nonlinear signal processing, based on higher-order statistics. Also, we propose an architecture for reducing musical noise based on the analysis. The effectiveness of the proposed architecture and analysis correctness are shown via a computer simulation and a subjective evaluation.