Rintaro Ikeshita

According to our database1, Rintaro Ikeshita authored at least 32 papers between 2015 and 2021.

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Bibliography

2021
Block Coordinate Descent Algorithms for Auxiliary-Function-Based Independent Vector Extraction.
IEEE Trans. Signal Process., 2021

A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Audio Source Separation Using the Multichannel Wiener Filter.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Independent Vector Extraction for Fast Joint Blind Source Separation and Dereverberation.
IEEE Signal Process. Lett., 2021

Blind Signal Dereverberation Based on Mixture of Weighted Prediction Error Models.
IEEE Signal Process. Lett., 2021

Online Speech Dereverberation Using Mixture of Multichannel Linear Prediction Models.
IEEE Signal Process. Lett., 2021

Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation.
CoRR, 2021

Independent Vector Extraction for Joint Blind Source Separation and Dereverberation.
CoRR, 2021

Low Latency Online Blind Source Separation Based on Joint Optimization with Blind Dereverberation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Neural Network-Based Virtual Microphone Estimator.
Proceedings of the IEEE International Conference on Acoustics, 2021

Blind and Neural Network-Guided Convolutional Beamformer for Joint Denoising, Dereverberation, and Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Jointly Optimal Denoising, Dereverberation, and Source Separation.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Computationally Efficient and Versatile Framework for Joint Optimization of Blind Speech Separation and Dereverberation.
Proceedings of the Interspeech 2020, 2020

Beam-TasNet: Time-domain Audio Separation Network Meets Frequency-domain Beamformer.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

DNN-supported Mask-based Convolutional Beamforming for Simultaneous Denoising, Dereverberation, and Source Separation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Convergence-Guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's T Distribution.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Overdetermined Independent Vector Analysis.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Experimental Analysis of EM and MU Algorithms for Optimizing Full-rank Spatial Covariance Model.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Efficient Corpus Creation Method for NLU Using Interview with Probing Questions.
J. Adv. Comput. Intell. Intell. Informatics, 2019

Simultaneous Denoising, Dereverberation, and Source Separation Using a Unified Convolutional Beamformer.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Independent Low-Rank Matrix Analysis with Decorrelation Learning.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Acoustic Modeling for Distant Multi-talker Speech Recognition with Single- and Multi-channel Branches.
Proceedings of the IEEE International Conference on Acoustics, 2019

Computational Acceleration and Smart Initialization of Full-RANK Spatial Covariance Analysis.
Proceedings of the 27th European Signal Processing Conference, 2019

A Unifying Framework for Blind Source Separation Based on A Joint Diagonalizability Constraint.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
In-Vehicle Voice Interface with Improved Utterance Classification Accuracy Using Off-the-Shelf Cloud Speech Recognizer.
IEICE Trans. Inf. Syst., 2018

Count Matroids of Group-Labeled Graphs.
Comb., 2018

Fast Multichannel Nonnegative Matrix Factorization with Constraints on Active Source Candidates.
Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Independent Low-Rank Matrix Analysis Based on Multivariate Complex Exponential Power Distribution.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Independent Positive Semidefinite Tensor Analysis in Blind Source Separation.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Local Gaussian model with source-set constraints in audio source separation.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Independent vector analysis with frequency range division and prior switching.
Proceedings of the 25th European Signal Processing Conference, 2017

Sub-Nyquist non-uniform sampling for low-cost sound monitoring.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2015
Unified ASR system using LGM-based source separation, noise-robust feature extraction, and word hypothesis selection.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015


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