Rintaro Ikeshita

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 58

Top Topics

Source Separation

Tensor Analysis

Joint Optimization

Speech Enhancement

Top Venues

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Rintaro Ikeshita, Tomohiro Nakatani
Geometrically-Regularized Fast Independent Vector Extraction by Pure Majorization-Minimization. IEEE Trans. Signal Process. 72 (2024)
Hanako Segawa, Tsubasa Ochiai, Marc Delcroix, Tomohiro Nakatani, Rintaro Ikeshita, Shoko Araki, Takeshi Yamada, Shoji Makino
Neural Network-Based Virtual Microphone Estimation with Virtual Microphone and Beamformer-Level Multi-Task Loss. ICASSP (2024)
Tsubasa Ochiai, Kazuma Iwamoto, Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki, Shigeru Katagiri
Rethinking Processing Distortions: Disentangling the Impact of Speech Enhancement Errors on Speech Recognition Performance. CoRR (2024)
Tsubasa Ochiai, Kazuma Iwamoto, Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki, Shigeru Katagiri
Rethinking Processing Distortions: Disentangling the Impact of Speech Enhancement Errors on Speech Recognition Performance. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Tetsuya Ueda, Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Shoko Araki, Shoji Makino
Blind and Spatially-Regularized Online Joint Optimization of Source Separation, Dereverberation, and Noise Reduction. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Kazuma Iwamoto, Tsubasa Ochiai, Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki, Shigeru Katagiri
How Does End-To-End Speech Recognition Training Impact Speech Enhancement Artifacts? ICASSP (2024)
Koki Nishida, Norihiro Takamune, Rintaro Ikeshita, Daichi Kitamura, Hiroshi Saruwatari, Tomohiro Nakatani
NoisyILRMA: Diffuse-Noise-Aware Independent Low-Rank Matrix Analysis for Fast Blind Source Extraction. EUSIPCO (2023)
Tetsuya Ueda, Tomohiro Nakatani, Rintaro Ikeshita, Shoko Araki, Shoji Makino
Spatially-Regularized Switching Independent Vector Analysis. APSIPA ASC (2023)
Koki Nishida, Norihiro Takamune, Rintaro Ikeshita, Daichi Kitamura, Hiroshi Saruwatari, Tomohiro Nakatani
NoisyILRMA: Diffuse-Noise-Aware Independent Low-Rank Matrix Analysis for Fast Blind Source Extraction. CoRR (2023)
Taishi Nakashima, Rintaro Ikeshita, Nobutaka Ono, Shoko Araki, Tomohiro Nakatani
Fast Online Source Steering Algorithm for Tracking Single Moving Source Using Online Independent Vector Analysis. ICASSP (2023)
Hiroshi Sawada, Rintaro Ikeshita, Keisuke Kinoshita, Tomohiro Nakatani
Multi-Frame Full-Rank Spatial Covariance Analysis for Underdetermined Blind Source Separation and Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, Naoyuki Kamo, Shoko Araki
Switching Independent Vector Analysis and its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Kazuma Iwamoto, Tsubasa Ochiai, Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki, Shigeru Katagiri
How bad are artifacts?: Analyzing the impact of speech enhancement errors on ASR. INTERSPEECH (2022)
Naoyuki Kamo, Rintaro Ikeshita, Keisuke Kinoshita, Tomohiro Nakatani
Importance of Switch Optimization Criterion in Switching WPE Dereverberation. ICASSP (2022)
Hiroshi Sawada, Rintaro Ikeshita, Keisuke Kinoshita, Tomohiro Nakatani
Multi-Frame Full-Rank Spatial Covariance Analysis for Underdetermined BSS in Reverberant Environments. ICASSP (2022)
Rintaro Ikeshita, Tomohiro Nakatani
ISS2: An Extension of Iterative Source Steering Algorithm for Majorization-Minimization-Based Independent Vector Analysis. EUSIPCO (2022)
Kazuma Iwamoto, Tsubasa Ochiai, Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki, Shigeru Katagiri
How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR. CoRR (2022)
Tetsuya Ueda, Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Shoko Araki, Shoji Makino
Low Latency Online Source Separation and Noise Reduction Based on Joint Optimization with Dereverberation. EUSIPCO (2021)
Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, Shoko Araki
Blind and Neural Network-Guided Convolutional Beamformer for Joint Denoising, Dereverberation, and Source Separation. ICASSP (2021)
Rintaro Ikeshita, Tomohiro Nakatani
Independent Vector Extraction for Joint Blind Source Separation and Dereverberation. CoRR (2021)
Nobutaka Ito, Rintaro Ikeshita, Hiroshi Sawada, Tomohiro Nakatani
A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Audio Source Separation Using the Multichannel Wiener Filter. CoRR (2021)
Tomohiro Nakatani, Rintaro Ikeshita, Naoyuki Kamo, Keisuke Kinoshita, Shoko Araki, Hiroshi Sawada
Switching Convolutional Beamformer. EUSIPCO (2021)
Rintaro Ikeshita, Naoyuki Kamo, Tomohiro Nakatani
Blind Signal Dereverberation Based on Mixture of Weighted Prediction Error Models. IEEE Signal Process. Lett. 28 (2021)
Rintaro Ikeshita, Keisuke Kinoshita, Naoyuki Kamo, Tomohiro Nakatani
Online Speech Dereverberation Using Mixture of Multichannel Linear Prediction Models. IEEE Signal Process. Lett. 28 (2021)
Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Tomohiro Nakatani
Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation. EUSIPCO (2021)
Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Tomohiro Nakatani
Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation. CoRR (2021)
Rintaro Ikeshita, Tomohiro Nakatani, Shoko Araki
Block Coordinate Descent Algorithms for Auxiliary-Function-Based Independent Vector Extraction. IEEE Trans. Signal Process. 69 (2021)
Nobutaka Ito, Rintaro Ikeshita, Hiroshi Sawada, Tomohiro Nakatani
A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Audio Source Separation Using the Multichannel Wiener Filter. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Tsubasa Ochiai, Marc Delcroix, Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Shoko Araki
Neural Network-based Virtual Microphone Estimator. CoRR (2021)
Rintaro Ikeshita, Tomohiro Nakatani
Independent Vector Extraction for Fast Joint Blind Source Separation and Dereverberation. IEEE Signal Process. Lett. 28 (2021)
Tetsuya Ueda, Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Shoko Araki, Shoji Makino
Low Latency Online Blind Source Separation Based on Joint Optimization with Blind Dereverberation. ICASSP (2021)
Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, Naoyuki Kamo, Shoko Araki
Switching Independent Vector Analysis and Its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithm. CoRR (2021)
Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, Shoko Araki
Blind and neural network-guided convolutional beamformer for joint denoising, dereverberation, and source separation. CoRR (2021)
Tsubasa Ochiai, Marc Delcroix, Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Shoko Araki
Neural Network-Based Virtual Microphone Estimator. ICASSP (2021)
Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Rintaro Ikeshita, Tomohiro Nakatani
Convergence-guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's t Distribution. CoRR (2020)
Tomohiro Nakatani, Riki Takahashi, Tsubasa Ochiai, Keisuke Kinoshita, Rintaro Ikeshita, Marc Delcroix, Shoko Araki
DNN-supported Mask-based Convolutional Beamforming for Simultaneous Denoising, Dereverberation, and Source Separation. ICASSP (2020)
Tomohiro Nakatani, Christoph Böddeker, Keisuke Kinoshita, Rintaro Ikeshita, Marc Delcroix, Reinhold Haeb-Umbach
Jointly Optimal Denoising, Dereverberation, and Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, Shoko Araki
Computationally Efficient and Versatile Framework for Joint Optimization of Blind Speech Separation and Dereverberation. INTERSPEECH (2020)
Rintaro Ikeshita, Tomohiro Nakatani, Shoko Araki
Overdetermined Independent Vector Analysis. ICASSP (2020)
Rintaro Ikeshita, Tomohiro Nakatani, Shoko Araki
Overdetermined independent vector analysis. CoRR (2020)
Tsubasa Ochiai, Marc Delcroix, Rintaro Ikeshita, Keisuke Kinoshita, Tomohiro Nakatani, Shoko Araki
Beam-TasNet: Time-domain Audio Separation Network Meets Frequency-domain Beamformer. ICASSP (2020)
Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Rintaro Ikeshita, Tomohiro Nakatani
Convergence-Guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's T Distribution. ICASSP (2020)
Tomohiro Nakatani, Christoph Böddeker, Keisuke Kinoshita, Rintaro Ikeshita, Marc Delcroix, Reinhold Haeb-Umbach
Jointly optimal denoising, dereverberation, and source separation. CoRR (2020)
Hiroshi Sawada, Rintaro Ikeshita, Tomohiro Nakatani
Experimental Analysis of EM and MU Algorithms for Optimizing Full-rank Spatial Covariance Model. EUSIPCO (2020)
Kazuaki Shima, Takeshi Homma, Masataka Motohashi, Rintaro Ikeshita, Hiroaki Kokubo, Yasunari Obuchi, Jinhua She
Efficient Corpus Creation Method for NLU Using Interview with Probing Questions. J. Adv. Comput. Intell. Intell. Informatics 23 (5) (2019)
Tomohiro Nakatani, Keisuke Kinoshita, Rintaro Ikeshita, Hiroshi Sawada, Shoko Araki
Simultaneous Denoising, Dereverberation, and Source Separation Using a Unified Convolutional Beamformer. WASPAA (2019)
Rintaro Ikeshita, Nobutaka Ito, Tomohiro Nakatani, Hiroshi Sawada
Independent Low-Rank Matrix Analysis with Decorrelation Learning. WASPAA (2019)
Naoyuki Kanda, Yusuke Fujita, Shota Horiguchi, Rintaro Ikeshita, Kenji Nagamatsu, Shinji Watanabe
Acoustic Modeling for Distant Multi-talker Speech Recognition with Single- and Multi-channel Branches. ICASSP (2019)
Hiroshi Sawada, Rintaro Ikeshita, Nobutaka Ito, Tomohiro Nakatani
Computational Acceleration and Smart Initialization of Full-RANK Spatial Covariance Analysis. EUSIPCO (2019)
Rintaro Ikeshita, Nobutaka Ito, Tomohiro Nakatani, Hiroshi Sawada
A Unifying Framework for Blind Source Separation Based on A Joint Diagonalizability Constraint. EUSIPCO (2019)
Rintaro Ikeshita
Independent Positive Semidefinite Tensor Analysis in Blind Source Separation. EUSIPCO (2018)
Takeshi Homma, Yasunari Obuchi, Kazuaki Shima, Rintaro Ikeshita, Hiroaki Kokubo, Takuya Matsumoto
In-Vehicle Voice Interface with Improved Utterance Classification Accuracy Using Off-the-Shelf Cloud Speech Recognizer. IEICE Trans. Inf. Syst. (12) (2018)
Rintaro Ikeshita, Shin-ichi Tanigawa
Count Matroids of Group-Labeled Graphs. Comb. 38 (5) (2018)
Rintaro Ikeshita, Yohei Kawaguchi
Independent Low-Rank Matrix Analysis Based on Multivariate Complex Exponential Power Distribution. ICASSP (2018)
Rintaro Ikeshita, Yohei Kawaguchi, Kenji Nagamatsu
Fast Multichannel Nonnegative Matrix Factorization with Constraints on Active Source Candidates. IWAENC (2018)
Rintaro Ikeshita, Masahito Togami, Yohei Kawaguchi, Yusuke Fujita, Kenji Nagamatsu
Local Gaussian model with source-set constraints in audio source separation. MLSP (2017)
Rintaro Ikeshita, Yohei Kawaguchi, Masahito Togami, Yusuke Fujita, Kenji Nagamatsu
Independent vector analysis with frequency range division and prior switching. EUSIPCO (2017)
Yohei Kawaguchi, Sandra Ramaswami, Ryoichi Takashima, Takashi Endo, Rintaro Ikeshita
Sub-Nyquist non-uniform sampling for low-cost sound monitoring. APSIPA (2017)
Yusuke Fujita, Ryoichi Takashima, Takeshi Homma, Rintaro Ikeshita, Yohei Kawaguchi, Takashi Sumiyoshi, Takashi Endo, Masahito Togami
Unified ASR system using LGM-based source separation, noise-robust feature extraction, and word hypothesis selection. ASRU (2015)