Journal Papers (first author)

• Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Kazuyoshi Yoshii, Tatsuya Kawahara:
  

  Fast Multichannel Nonnegative Matrix Factorization with Directivity-Aware Jointly-Diagonalizable Spatial Covariance Matrices for Blind Source Separation,

  
  IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 28, pp. 2610-2625, 2020.

  15th IEEE Signal Processing Society (SPS) Japan Student Journal Paper Award

  (PDF)

• Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Kazuyoshi Yoshii, Tatsuya Kawahara:
  

  Semi-supervised Multichannel Speech Enhancement with a Deep Speech Prior,

  
  IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 27, No. 12, pp. 2197-2212, 2019.

  17th IEEE Kansai Section Student Paper Award

  (PDF, Code, Demo)

• Kouhei Sekiguchi, Yoshiaki Bando, Katsutoshi Itoyama, Kazuyoshi Yoshii:
  

  Layout Optimization of Cooperative Distributed Microphone Arrays Based on Estimation of Source Separation Performance,

  
  Journal of Robotics and Mechatronics, Vol. 29, No. 1, pp. 83-93, 2017.

Journal Papers (co-author)

• Aditya Arie Nugraha, Kouhei Sekiguchi, Mathieu Fontaine, Yoshiaki Bando, Kazuyoshi Yoshii:
  

  Flow-Based Independent Vector Analysis for Blind Source Separation

  
  IEEE Signal Processing Letters, Vol. 27, pp. 2173-2177, 2020.
• Aditya Arie Nugraha, Kouhei Sekiguchi, Kazuyoshi Yoshii:
  

  A Flow-Based Deep Latent Variable Model for Speech Spectrogram Modeling and Enhancement,

  
  IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 28, pp. 1104–1117, 2020.

International Conference Papers (reviewed, first author)

• Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii:
  

  Autoregressive Fast Multichannel Nonnegative Matrix Factorization for Joint Blind Source Separation and Dereverberation,

  
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, accepted.
• Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii:
  

  Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices,

  
  European Association for Signal Processing (EUSIPCO), pp. 1-5, 2019, accepted. (PDF, Code)
  
• Kouhei Sekiguchi, Yoshiaki Bando, Kazuyoshi Yoshii, Tatsuya Kawahara:
  

  Bayesian Multichannel Speech Enhancement with a Deep Speech Prior,

  
  Asia-Pacific Signal and Information Processing Association (APSIPA), 2018, accepted. (PDF)
  
• Kouhei Sekiguchi, Yoshiaki Bando, Keisuke Nakamura, Kazuhiro Nakadai, Katsutoshi Itoyama, Kazuyoshi Yoshii:
  

  Online Simultaneous Localization and Mapping of Multiple Sound Sources and Asynchronous Microphone Arrays,

  
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016, accepted.
  

  財団法人 原総合知的通信システム基金 第50回国際会議論文発表助成

• Kouhei Sekiguchi, Yoshiaki Bando, Katsutoshi Itoyama, Kazuyoshi Yoshii:
  

  Optimizing the Layout of Multiple Mobile Robots for Cooperative Sound Source Separation,

  
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015, accepted.

International Conference Papers (reviewed, co-author)

• Mathieu Fontaine, Kouhei Sekiguchi, Aditya Arie Nugraha, Kazuyoshi Yoshii:
  

  Unsupervised Robust Speech Enhancement Based on Alpha-Stable Fast Multichannel Nonnegative Matrix Factorization,

  
  Interspeech, Accepted, October 2020.
• Yoshiaki Bando, Kouhei Sekiguchi and Kazuyoshi Yoshii:
  

  Adaptive Neural Speech Enhancement with a Denoising Variational Autoencoder,

  
  Interspeech, Accepted, October 2020.
• Kazuyoshi Yoshii, Kouhei Sekiguchi, Yoshiaki Bando, Mathieu Fontaine, Aditya Arie Nugraha:
  

  Fast Multichannel Correlated Tensor Factorization for Blind Source Separation,

  
  European Signal Processing Conference (EUSIPCO), Accepted, January 2021.
• Yicheng Du, Kouhei Sekiguchi, Yoshiaki Bando, Aditya Arie Nugraha, Mathieu Fontaine, Kazuyoshi Yoshii, Tatsuya Kawahara:
  

  Semi-supervised Multichannel Speech Separation Based on a Phone- and Speaker-Aware Deep Generative Model of Speech Spectrograms,

  
  European Signal Processing Conference (EUSIPCO), Accepted, January 2021.
• Aaron Chau, Kouhei Sekiguchi, Aditya Arie Nugraha, Kazuyoshi Yoshii, Kotaro Funakoshi:
  

  Audio-Visual SLAM towards Human Tracking and Human-Robot Interaction in Indoor Environments,

  
  IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2019, accepted.
  

  Best Conference Paper Award

• Aditya Arie Nugraha, Kouhei Sekiguchi, Kazuyoshi Yoshii:
  

  A Deep Generative Model of Speech Complex Spectrograms,

  
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 905-909, 2019, accepted.
  

Domestic Conference Papers

• 関口 航平, 坂東 宜昭, Aditya Arie Nugraha, Mathieu Fontaine, 吉井 和佳:
  

  ARMA-FastMNMFに基づく同時的ブラインド音源分離・残響除去,

  
  音響学会, 2021, spring. (訂正表)
• 関口 航平, Aditya Arie Nugraha, 坂東 宜昭, 吉井 和佳:
  

  深層音声生成モデルと同時対角化可能な空間相関行列に基づく高速マルチチャネル音声強調,

  
  音学シンポジウム, 2019,

  Best student paper award from SIG-SLP

  . (PDF)
• 関口 航平, 坂東 宜昭, 中村 圭佑, 中臺 一博, 糸山 克俊, 吉井 和佳:
  

  非同期マイクロホンアレイを搭載した複数ロボットによる音環境マップの協調オンライン推定,

  
  ロボティクス・メカトロニクス講演会, 2016.
• 関口 航平, 坂東 宜昭, 中村 圭佑, 中臺 一博, 糸山 克俊, 吉井 和佳:
  

  音源到来方向・時間差を用いた非同期複数マイクロホンアレイ位置のオンライン推定,

  
  情報処理学会 第78回全国大会, 2016,

  学生奨励賞受賞

  .
• 関口 航平, 坂東 宜昭, 糸山 克寿, 吉井和佳:
  

  複数移動ロボットによる協調音源分離のための分離精度予測を用いた配置最適化,

  
  人工知能学会 第42回 AIチャレンジ研究会, 2015.
• 関口 航平, 坂東 宜昭, 糸山 克寿, 吉井和佳:
  

  複数移動ロボットを用いた音源分離における音源配置に応じたロボットの最適配置探索,

  
  日本ロボット学会 第33回学術講演会, 2015.
• 関口 航平, 坂東 宜昭, 糸山 克寿, 吉井和佳:
  

  分散型マイクロホンアレイを用いた音源分離のための複数移動ロボットの配置最適化,

  
  情報処理学会 第77回全国大会, 2015,

  学生奨励賞受賞

  .