Sound Source Tracking via Two Microphones Using PSO Based on MUSIC

カテゴリ: 部門大会

論文No: SS3-1

グループ名: 【C】平成28年電気学会電子・情報・システム部門大会講演論文集

発行日: 2016/08/31

タイトル(英語): Sound Source Tracking via Two Microphones Using PSO Based on MUSIC

著者名: 大宮 健太(東京電機大学),陶山 健仁(東京電機大学)

著者名(英語): Kenta Omiya|Kenji Suyama

キーワード: マイクロホンアレー|音源追尾|PSOPSO|Microphone array|Sound source tracking|PSO

要約(日本語): In this paper, a method for multiple sound source tracking by two microphones is studied. In our previous work, the summed MUSIC (MUltiple SIgnal Classification) spectrum was used as an evaluation function for PSO (Particle Swarm Optimization). Then, the penalty function is added for avoiding, the same direction tracking. In the proposed method, the penalty function is calculated from the mixed Cauchy distribution fitted to the denominator of MUSIC spectrum.The effectiveness of the proposed method is shown by several experimental results.

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