Journal Papers

  1. Nobutaka Ito, Rintaro Ikeshita, Hiroshi Sawada, and Tomohiro Nakatani: "A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Sound Source Separation Using the Multichannel Wiener Filter," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 1950–1965, 2021.
  2. Rintaro Ikeshita, Tomohiro Nakatani, and Shoko Araki: "Block Coordinate Descent Algorithms for Auxiliary-Function-Based Independent Vector Extraction," IEEE Transactions on Signal Processing, vol. 69, pp. 3252–3267, 2021.
  3. Rintaro Ikeshita and Tomohiro Nakatani: "Independent Vector Extraction for Fast Joint Blind Source Separation and Dereverberation," IEEE Signal Processing Letters, vol. 28, pp. 972–976, 2021.
  4. Rintaro Ikeshita, Keisuke Kinoshita, Naoyuki Kamo, and Tomohiro Nakatani: "Online Speech Dereverberation Using Mixture of Multichannel Linear Prediction Models," IEEE Signal Processing Letters, vol. 28, pp. 1580–1584, 2021.
  5. Rintaro Ikeshita, Naoyuki Kamo, and Tomohiro Nakatani: "Blind Signal Dereverberation Based on Mixture of Weighted Prediction Error Models," IEEE Signal Processing Letters, vol. 28, pp. 399–403, 2021.
  6. Tomohiro Nakatani, Christoph Böddeker, Keisuke Kinoshita, Rintaro Ikeshita, Marc Delcroix, and Reinhold Haeb-Umbach: "Jointly Optimal Denoising, Dereverberation, and Source Separation," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 2267–2282, 2020.
  7. Takeshi Homma, Yasunari Obuchi, Kazuaki Shima, Rintaro Ikeshita, Hiroaki Kokubo, and Takuya Matsumoto: "In-Vehicle Voice Interface with Improved Utterance Classification Accuracy Using Off-the-Shelf Cloud Speech Recognizer," IEICE Transactions on Information and Systems, vol. 101, No. 12, pp. 3123–3137, 2018.
  8. Rintaro Ikeshita and Shin-ichi Tanigawa: "Count Matroids of Group-Labeled Graphs," Combinatorica, 38, pp. 1101–1127, 2018.

Refereed Conference Proceedings

ICASSP | EUSIPCO | WASPAA | Interspeech | IWAENC | MLSP | APSIPA

ICASSP — International Conference on Acoustics, Speech, and Signal Processing

  1. Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, and Shoko Araki: "Blind and Neural Network-Guided Convolutional Beamformer for Joint Denoising, Dereverberation, and Source Separation," Proc. ICASSP, 2021.
  2. Tetsuya Ueda, Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Shoko Araki, and Shoji Makino: "Low Latency Online Blind Source Separation Based on Joint Optimization with Blind Dereverberation," Proc. ICASSP, 2021.
  3. Tsubasa Ochiai, Marc Delcroix, Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, and Shoko Araki: "Neural Network-based Virtual Microphone Estimator," Proc. ICASSP, 2021.
  4. Rintaro Ikeshita, Tomohiro Nakatani, and Shoko Araki: "Overdetermined Independent Vector Analysis," Proc. ICASSP, 2020.
  5. Tsubasa Ochiai, Marc Delcroix, Rintaro Ikeshita, Keisuke Kinoshita, Tomohiro Nakatani, and Shoko Araki: "Beam-TasNet: Time-domain Audio Separation Network Meets frequency-domain Beamformer," Proc. ICASSP, 2020.
  6. Tomohiro Nakatani, Riki Takahashi, Tsubasa Ochiai, Keisuke Kinoshita, Rintaro Ikeshita, Marc Delcroix, and Shoko Araki: "DNN-supported Mask-based Convolutional Beamforming for Simultaneous Denoising, Dereverberation, and Source Separation," Proc. ICASSP, 2020.
  7. Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Rintaro Ikeshita, and Tomohiro Nakatani: "Convergence-guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's t Distribution," Proc. ICASSP, 2020.
  8. Naoyuki Kanda, Yusuke Fujita, Shota Horiguchi, Rintaro Ikeshita, Kenji Nagamatsu, and Shinji Watanabe: "Acoustic Modeling for Distant Multi-talker Speech Recognition with Single- and Multi-channel Branches," Proc. ICASSP, 2019.
  9. Rintaro Ikeshita and Yohei Kawaguchi: "Independent Low-rank Matrix Analysis Based on Multivariate Complex Exponential Power Distribution," Proc. ICASSP, 2018.

EUSIPCO — European Signal Processing Conference

  1. Tomohiro Nakatani, Rintaro Ikeshita, Naoyuki Kamo, Keisuke Kinoshita, Shoko Araki, and Hiroshi Sawada: "Switching Convolutional Beamformer," Proc. EUSIPCO, 2021.
  2. Tetsuya Ueda, Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Shoko Araki, and Shoji Makino: "Low Latency Online Source Separation and Noise Reduction Based on Joint Optimization with Dereverberation," Proc. EUSIPCO, 2021.
  3. Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiro Nakamura, Hiroshi Saruwatari, and Tomohiro Nakatani: "Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation," Proc. EUSIPCO, 2021.
  4. Hiroshi Sawada, Rintaro Ikeshita, and Tomohiro Nakatani: "Experimental Analysis of EM and MU Algorithms for Optimizing Full-rank Spatial Covariance Model," Proc. EUSIPCO, 2020.
  5. Rintaro Ikeshita, Nobutaka Ito, Tomohiro Nakatani, and Hiroshi Sawada: "A Unifying Framework for Blind Source Separation Based on A Joint Diagonalizability Constraint," Proc. EUSIPCO, 2019.
  6. Hiroshi Sawada, Rintaro Ikeshita, Nobutaka Ito, and Tomohiro Nakatani: "Computational Acceleration and Smart Initialization of Full-rank Spatial Covariance Analysis," Proc. EUSIPCO, 2019.
  7. Rintaro Ikeshita: "Independent Positive Semidefinite Tensor Analysis in Blind Source Separation," Proc. EUSIPCO, 2018.
  8. Rintaro Ikeshita, Yohei Kawaguchi, Masahito Togami, Yusuke Fujita, and Kenji Nagamatsu: "Independent Vector Analysis with Frequency Range Division and Prior Switching," Proc. EUSIPCO, 2017.

WASPAA — IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

  1. Rintaro Ikeshita, Nobutaka Ito, Tomohiro Nakatani, and Hiroshi Sawada: "Independent Low-Rank Matrix Analysis with Decorrelation Learning," Proc. WASPAA, 2019.
  2. Tomohiro Nakatani, Keisuke Kinoshita, Rintaro Ikeshita, Hiroshi Sawada, and Shoko Araki: "Simultaneous Denoising, Dereverberation, and Source Separation Using a Unified Convolutional Beamformer," Proc. WASPAA, 2019.

Interspeech

  1. Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, and Shoko Araki: "Computationally Efficient and Versatile Framework for Joint Optimization of Blind Speech Separation and Dereverberation," Proc. Interspeech, 2020.

IWAENC — International Workshop on Acoustic Signal Enhancement

  1. Rintaro Ikeshita, Yohei Kawaguchi, and Kenji Nagamatsu: "Fast Multichannel Nonnegative Matrix Factorization with Constraints on Active Source Candidates," Proc. IWAENC, 2018.

MLSP — IEEE Workshop on Machine Learning for Signal Processing

  1. Rintaro Ikeshita, Masahito Togami, Yohei Kawaguchi, Yusuke Fujita, and Kenji Nagamatsu: "Local Gaussian Model with Source-set Constraints in Audio Source Separation," Proc. MLSP, 2017.

APSIPA — Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

  1. Yohei Kawaguchi, Sandra Ramaswami, Ryoichi Takashima, Takashi Endo, and Rintaro Ikeshita: "Sub-Nyquist Non-uniform Sampling for Low-cost Sound Monitoring," Proc. APSIPA, 2017.

International Competitions

Theses

Master (2015)
Bachelor (2013)