Παρακολούθηση
Rintaro Ikeshita
Rintaro Ikeshita
NTT Communication Science Laboratories
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ieee.org - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Beam-TasNet: Time-domain audio separation network meets frequency-domain beamformer
T Ochiai, M Delcroix, R Ikeshita, K Kinoshita, T Nakatani, S Araki
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
502020
The Hitachi/JHU CHiME-5 system: Advances in speech recognition for everyday home environments using multiple microphone arrays
N Kanda, R Ikeshita, S Horiguchi, Y Fujita, K Nagamatsu, X Wang, ...
Proc. CHiME-5, 6-10, 2018
472018
Acoustic modeling for distant multi-talker speech recognition with single-and multi-channel branches
N Kanda, Y Fujita, S Horiguchi, R Ikeshita, K Nagamatsu, S Watanabe
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
402019
Jointly optimal denoising, dereverberation, and source separation
T Nakatani, C Boeddeker, K Kinoshita, R Ikeshita, M Delcroix, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2267-2282, 2020
322020
Overdetermined independent vector analysis
R Ikeshita, T Nakatani, S Araki
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
192020
Independent low-rank matrix analysis with decorrelation learning
R Ikeshita, N Ito, T Nakatani, H Sawada
2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019
182019
DNN-supported mask-based convolutional beamforming for simultaneous denoising, dereverberation, and source separation
T Nakatani, R Takahashi, T Ochiai, K Kinoshita, R Ikeshita, M Delcroix, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
172020
Unified ASR system using LGM-based source separation, noise-robust feature extraction, and word hypothesis selection
Y Fujita, R Takashima, T Homma, R Ikeshita, Y Kawaguchi, T Sumiyoshi, ...
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015
172015
Independent low-rank matrix analysis based on multivariate complex exponential power distribution
R Ikeshita, Y Kawaguchi
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
162018
A unifying framework for blind source separation based on a joint diagonalizability constraint
R Ikeshita, N Ito, T Nakatani, H Sawada
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
142019
Independent vector extraction for fast joint blind source separation and dereverberation
R Ikeshita, T Nakatani
IEEE Signal Processing Letters 28, 972-976, 2021
13*2021
Blind and neural network-guided convolutional beamformer for joint denoising, dereverberation, and source separation
T Nakatani, R Ikeshita, K Kinoshita, H Sawada, S Araki
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
122021
Count matroids of group-labeled graphs
R Ikeshita, S Tanigawa
Combinatorica 38 (5), 1101-1127, 2018
112018
How bad are artifacts?: Analyzing the impact of speech enhancement errors on asr
K Iwamoto, T Ochiai, M Delcroix, R Ikeshita, H Sato, S Araki, S Katagiri
arXiv preprint arXiv:2201.06685, 2022
92022
A joint diagonalization based efficient approach to underdetermined blind audio source separation using the multichannel Wiener filter
N Ito, R Ikeshita, H Sawada, T Nakatani
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1950-1965, 2021
82021
Block coordinate descent algorithms for auxiliary-function-based independent vector extraction
R Ikeshita, T Nakatani, S Araki
IEEE Transactions on Signal Processing 69, 3252-3267, 2021
82021
Independent positive semidefinite tensor analysis in blind source separation
R Ikeshita
2018 26th European Signal Processing Conference (EUSIPCO), 1652-1656, 2018
82018
Infinitesimal rigidity of symmetric frameworks
R Ikeshita
Master Thesis, University of Tokyo, 2015
82015
Computationally Efficient and Versatile Framework for Joint Optimization of Blind Speech Separation and Dereverberation.
T Nakatani, R Ikeshita, K Kinoshita, H Sawada, S Araki
INTERSPEECH, 91-95, 2020
72020
Blind signal dereverberation based on mixture of weighted prediction error models
R Ikeshita, N Kamo, T Nakatani
IEEE Signal Processing Letters 28, 399-403, 2021
62021
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