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Rintaro Ikeshita
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2020 – today
- 2024
- [j15]Tetsuya Ueda, Tomohiro Nakatani, Rintaro Ikeshita, Shoko Araki, Shoji Makino:
DOA-informed switching independent vector extraction and beamforming for speech enhancement in underdetermined situations. EURASIP J. Audio Speech Music. Process. 2024(1): 52 (2024) - [j14]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: 1157-1172 (2024) - [j13]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: 3589-3602 (2024) - [j12]Rintaro Ikeshita, Tomohiro Nakatani:
Geometrically-Regularized Fast Independent Vector Extraction by Pure Majorization-Minimization. IEEE Trans. Signal Process. 72: 1560-1575 (2024) - [c34]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: 11021-11025 - [c33]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: 11031-11035 - [c32]Shinya Furunaga, Hiroshi Sawada, Rintaro Ikeshita, Tomohiro Nakatani, Shoji Makino:
Accurate Delayed Source Model for Multi-Frame Full-Rank Spatial Covariance Analysis. IWAENC 2024: 170-174 - [i12]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 abs/2404.14860 (2024) - 2023
- [j11]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: 3589-3602 (2023) - [c31]Tetsuya Ueda, Tomohiro Nakatani, Rintaro Ikeshita, Shoko Araki, Shoji Makino:
Spatially-Regularized Switching Independent Vector Analysis. APSIPA ASC 2023: 2024-2030 - [c30]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: 925-929 - [c29]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: 1-5 - [i11]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 abs/2306.12820 (2023) - 2022
- [j10]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: 1032-1047 (2022) - [c28]Rintaro Ikeshita, Tomohiro Nakatani:
ISS2: An Extension of Iterative Source Steering Algorithm for Majorization-Minimization-Based Independent Vector Analysis. EUSIPCO 2022: 65-69 - [c27]Naoyuki Kamo, Rintaro Ikeshita, Keisuke Kinoshita, Tomohiro Nakatani:
Importance of Switch Optimization Criterion in Switching WPE Dereverberation. ICASSP 2022: 176-180 - [c26]Hiroshi Sawada, Rintaro Ikeshita, Keisuke Kinoshita, Tomohiro Nakatani:
Multi-Frame Full-Rank Spatial Covariance Analysis for Underdetermined BSS in Reverberant Environments. ICASSP 2022: 496-500 - [c25]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: 5418-5422 - [i10]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 abs/2201.06685 (2022) - 2021
- [j9]Rintaro Ikeshita, Naoyuki Kamo, Tomohiro Nakatani:
Blind Signal Dereverberation Based on Mixture of Weighted Prediction Error Models. IEEE Signal Process. Lett. 28: 399-403 (2021) - [j8]Rintaro Ikeshita, Tomohiro Nakatani:
Independent Vector Extraction for Fast Joint Blind Source Separation and Dereverberation. IEEE Signal Process. Lett. 28: 972-976 (2021) - [j7]Rintaro Ikeshita, Keisuke Kinoshita, Naoyuki Kamo, Tomohiro Nakatani:
Online Speech Dereverberation Using Mixture of Multichannel Linear Prediction Models. IEEE Signal Process. Lett. 28: 1580-1584 (2021) - [j6]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: 1950-1965 (2021) - [j5]Rintaro Ikeshita, Tomohiro Nakatani, Shoko Araki:
Block Coordinate Descent Algorithms for Auxiliary-Function-Based Independent Vector Extraction. IEEE Trans. Signal Process. 69: 3252-3267 (2021) - [c24]Tomohiro Nakatani, Rintaro Ikeshita, Naoyuki Kamo, Keisuke Kinoshita, Shoko Araki, Hiroshi Sawada:
Switching Convolutional Beamformer. EUSIPCO 2021: 266-270 - [c23]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: 326-330 - [c22]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: 1000-1004 - [c21]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: 506-510 - [c20]Tsubasa Ochiai, Marc Delcroix, Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Shoko Araki:
Neural Network-Based Virtual Microphone Estimator. ICASSP 2021: 6114-6118 - [c19]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: 6129-6133 - [i9]Tsubasa Ochiai, Marc Delcroix, Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Shoko Araki:
Neural Network-based Virtual Microphone Estimator. CoRR abs/2101.04315 (2021) - [i8]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 abs/2101.08563 (2021) - [i7]Rintaro Ikeshita, Tomohiro Nakatani:
Independent Vector Extraction for Joint Blind Source Separation and Dereverberation. CoRR abs/2102.04696 (2021) - [i6]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 abs/2106.05529 (2021) - [i5]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 abs/2108.01836 (2021) - [i4]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 abs/2111.10574 (2021) - 2020
- [j4]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: 2267-2282 (2020) - [c18]Hiroshi Sawada, Rintaro Ikeshita, Tomohiro Nakatani:
Experimental Analysis of EM and MU Algorithms for Optimizing Full-rank Spatial Covariance Model. EUSIPCO 2020: 885-889 - [c17]Rintaro Ikeshita, Tomohiro Nakatani, Shoko Araki:
Overdetermined Independent Vector Analysis. ICASSP 2020: 591-595 - [c16]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: 681-685 - [c15]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: 6384-6388 - [c14]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: 6399-6403 - [c13]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: 91-95 - [i3]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 abs/2002.08582 (2020) - [i2]Rintaro Ikeshita, Tomohiro Nakatani, Shoko Araki:
Overdetermined independent vector analysis. CoRR abs/2003.02458 (2020) - [i1]Tomohiro Nakatani, Christoph Böddeker, Keisuke Kinoshita, Rintaro Ikeshita, Marc Delcroix, Reinhold Haeb-Umbach:
Jointly optimal denoising, dereverberation, and source separation. CoRR abs/2005.09843 (2020)
2010 – 2019
- 2019
- [j3]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): 947-955 (2019) - [c12]Rintaro Ikeshita, Nobutaka Ito, Tomohiro Nakatani, Hiroshi Sawada:
A Unifying Framework for Blind Source Separation Based on A Joint Diagonalizability Constraint. EUSIPCO 2019: 1-5 - [c11]Hiroshi Sawada, Rintaro Ikeshita, Nobutaka Ito, Tomohiro Nakatani:
Computational Acceleration and Smart Initialization of Full-RANK Spatial Covariance Analysis. EUSIPCO 2019: 1-5 - [c10]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: 6630-6634 - [c9]Tomohiro Nakatani, Keisuke Kinoshita, Rintaro Ikeshita, Hiroshi Sawada, Shoko Araki:
Simultaneous Denoising, Dereverberation, and Source Separation Using a Unified Convolutional Beamformer. WASPAA 2019: 224-228 - [c8]Rintaro Ikeshita, Nobutaka Ito, Tomohiro Nakatani, Hiroshi Sawada:
Independent Low-Rank Matrix Analysis with Decorrelation Learning. WASPAA 2019: 288-292 - 2018
- [j2]Rintaro Ikeshita, Shin-ichi Tanigawa:
Count Matroids of Group-Labeled Graphs. Comb. 38(5): 1101-1127 (2018) - [j1]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. 101-D(12): 3123-3137 (2018) - [c7]Rintaro Ikeshita:
Independent Positive Semidefinite Tensor Analysis in Blind Source Separation. EUSIPCO 2018: 1652-1656 - [c6]Rintaro Ikeshita, Yohei Kawaguchi:
Independent Low-Rank Matrix Analysis Based on Multivariate Complex Exponential Power Distribution. ICASSP 2018: 741-745 - [c5]Rintaro Ikeshita, Yohei Kawaguchi, Kenji Nagamatsu:
Fast Multichannel Nonnegative Matrix Factorization with Constraints on Active Source Candidates. IWAENC 2018: 520-524 - 2017
- [c4]Yohei Kawaguchi, Sandra Ramaswami, Ryoichi Takashima, Takashi Endo, Rintaro Ikeshita:
Sub-Nyquist non-uniform sampling for low-cost sound monitoring. APSIPA 2017: 452-456 - [c3]Rintaro Ikeshita, Yohei Kawaguchi, Masahito Togami, Yusuke Fujita, Kenji Nagamatsu:
Independent vector analysis with frequency range division and prior switching. EUSIPCO 2017: 2329-2333 - [c2]Rintaro Ikeshita, Masahito Togami, Yohei Kawaguchi, Yusuke Fujita, Kenji Nagamatsu:
Local Gaussian model with source-set constraints in audio source separation. MLSP 2017: 1-6 - 2015
- [c1]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: 416-422
Coauthor Index
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last updated on 2024-10-30 20:32 CET by the dblp team
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