S. Makino

发表

A POLAR-COORDINATE BASED ACTIVATION FUNCTION FOR FREQUENCY DOMAIN BLIND SOURCE SEPARATION

S. Araki, H. Sawada, R. Mukai, 2001 .

First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results

Emmanuel Vincent, Hiroshi Sawada, Justinian P. Rosca, 2007, ICA.

Amplitude-based speech enhancement with nonnegative matrix factorization for asynchronous distributed recording

Takeshi Yamada, Shoji Makino, Yu Takahashi, 2014, 2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC).

Variable sound elevation features for head-related impulse response spatial auditory BCI

Tomasz M. Rutkowski, S. Makino, Chisaki Nakaizumi, 2015, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

ARMA modeling of a room transfer function at low frequencies

Yutaka Kaneda, N. Koizumi, S. Makino, 1994 .

Algorithmic Complexity based Blind Source Separation for Convolutive Speech Mixtures

H. Sawada, R. Mukai, S. Makino, 2004 .

BLIND SOURCE SEPARATION FOR CONVOLUTIVE MIXTURES BASED ON COMPLEXITY MINIMIZATION

H. Sawada, R. Mukai, S. Makino, 2003 .

Categorizing Error Causes Related to Utterance Characteristics in Speech Recognition

Takeshi Yamada, S. Makino, Jennifer Santoso, 2019 .

Novel Speech Recognition Interface Based on Notification of Utterance Volume Required in Changing Noisy Environment

Takeshi Yamada, S. Makino, Takahiro Goto, 2018 .

Blind Source Separation with Low Latency for In-Car Communication

Takeshi Yamada, S. Makino, S. Inoue, 2020 .

A Causal Frequency-Domain Implementation of a Natural Gradient Multichannel Blind Deconvolution and Source Separation Algorithm

Hiroshi Sawada, Scott C. Douglas, Shoji Makino, 2004 .

Natural gradient blind deconvolution and equalization using causal FIR filters

S. Douglas, H. Sawada, S. Makino, 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

ACOUSTIC SCENE CLASSIFICATION USING DEEP NEURAL NETWORK AND FRAME-CONCATENATED ACOUSTIC FEATURE

Nobutaka Ono, Takeshi Yamada, S. Makino, 2016 .

DIGITAL TECHNOLOGIES FOR CONTROLLING ROOM ACOUSTICS

M. Miyoshi, S. Makino, 2002 .

ADAPTIVE FILTERING ALGORITHM ENHANCING DECORRELATED ADDITIVE SIGNALS FOR STEREO ECHO CANCELLATION

S. Makino, Y. Haneda, S. Emura, 2001 .

Ego-Noise Reduction for Hose-Shaped Rescue Robot Using Basis-Shared Semi-Supervised Independent Low-Rank Matrix Analysis

Nobutaka Ono, H. Saruwatari, Takeshi Yamada, 2018 .

PAPER Special Section on Blind Signal Processing: Independent Component Analysis and Signal Separation Polar Coordinate based Nonlinear Function for Frequency-Domain Blind Source Separation

S. Araki, H. Sawada, R. Mukai, 2003 .

On real and complex valued /spl lscr//sub 1/-norm minimization for overcomplete blind source separation

H. Sawada, S. Makino, H. Sawada, 2005, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2005..

UNDERDETERMINED SOURCE SEPARATION BY ICA AND HOMOMORPHIC SIGNAL PROCESSING

Walter Kellermann, H. Sawada, S. Makino, 2006 .

A Tactile P 300 – based Brain – computer Interface Accuracy Improvement

Tomasz M. Rutkowski, S. Makino, Takumi Kodama, 2016 .

Spatial auditory BCI paradigm based on real and virtual sound image generation

Shoji Makino, Nozomu Nishikawa, Tomasz M. Rutkowski, 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings

H. Sawada, S. Makino, G. Schuller, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Onset Augmented Reality Brain – computer Interface

Tomasz M. Rutkowski, S. Makino, Takumi Kodama, 2016 .

Report on the 1990 International Conference on Acoustics, Speech, and Signal Processing.

Keikichi Hirose, Seiichi Nakagawa, Shoji Makino, 1990 .

Signal separation process, signal isolator device, signal separation program and recording medium

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004 .

A study of decorrelation on a stereo echo canceller

Shoji Makino, Suehiro Shimauchi, Sumitaka Sakauchi, 1999 .

Parametric Pearson approach based independent component analysis for freqeucny domain blind speech separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006 .

A Solution for the Permutation Problem in Frequency Domain BSS using Near-and Far-field Models

S. Araki, H. Sawada, R. Mukai, 2004 .

Monitoring of Domestic Activities Using Multiple Beamformers and Attention Mechanism

Takeshi Yamada, S. Makino, Y. Kaneko, 2021, Journal of Signal Processing.

Wavelength-Proportional Interpolation and Extrapolation of Virtual Microphone for Underdetermined Speech Enhancement

Nobutaka Ono, Takeshi Yamada, S. Makino, 2020, APSIPA Transactions on Signal and Information Processing.

FULL-REFERENCE OBJECTIVE QUALITY EVALUATION FOR NOISE-REDUCED SPEECH CONSIDERING EFFECT OF MUSICAL NOISE

Takeshi Yamada, S. Makino, N. Kitawaki, 2012 .

Performance Estimation of Noisy Speech Recognition Considering the Accuracy of Acoustic Models

Takeshi Yamada, S. Makino, N. Kitawaki, 2011 .

Performance Estimation of Noisy Speech Recognition Based on Short-Term Noise Characteristics

Takeshi Yamada, S. Makino, N. Kitawaki, 2011 .

Method for simulating an acoustic transfer function simulator and this

Shoji Makino, Yutaka Kaneda, Yoichi Haneda, 1992 .

BY COMBINING DOA CLUSTERING AND SPEAKER IDENTIFICATION

T. Nakatani, M. Fujimoto, S. Araki, 2022 .

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings

H. Sawada, S. Makino, G. Schuller, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Position information estimator, process it and program

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004 .

Chapter 10. Underdetermined Blind Source Separation Using Acoustic Arrays

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2010 .

K-means Based Underdetermined Blind Speech Separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, Blind Speech Separation.

Blind Audio Source Separation Blind Audio Source Separation based on based on Independent Component Analysis Independent Component Analysis

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007 .

Low Latency Online Blind Source Separation Based on Joint Optimization with Blind Dereverberation

Tomohiro Nakatani, Shoko Araki, Keisuke Kinoshita, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Convolutive blind source separation for more than two sources in the frequency domain

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A-10-7 Blind Signal Separation by Observation Vector Clustering

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2005 .

Common acoustical poles independent of sound directions and modeling of head-related transfer functions.

Shoji Makino, Yutaka Kaneda, Yoichi Haneda, 1994 .

Steady-State Auditory Responses Application to BCI/BMI

Shoji Makino, Tomasz M. Rutkowski, Yoshihiro Matsumito, 2012 .

Voice activity detection under high levels of noise using gated convolutional neural networks

Li Li, Shoji Makino, Yuki Koshino, 2019 .

Analysing ICA component by injection noise

Noboru Murata, Stefan Harmeling, Frank C. Meinecke, 2003 .

TOWARDS A PERSONALIZED TECHNICAL EAR TRAINING PROGRAM: AN INVESTIGATION OF THE EFFECT OF ADAPTIVE FEEDBACK

Takeshi Yamada, S. Makino, H. Terasawa, 2011 .

Performance Improvement of Speech Emotion Recognition by Neutral Speech Detection Using Autoencoder and Intermediate Representation

Takeshi Yamada, S. Makino, Jennifer Santoso, 2022, INTERSPEECH.

FastMVAE2: On improving and accelerating the fast variational autoencoder-based source separation algorithm for determined mixtures

H. Kameoka, S. Makino, Li Li, 2021, ArXiv.

Underdetermined Multichannel Speech Enhancement Using Time-Frequency-Bin-Wise Switching Beamformer and Gated CNN-Based Time-Frequency Mask for Reverberant Environments

Takeshi Yamada, S. Makino, Mitsuo Matsumoto, 2020 .

C. ELEGANS MEETS DATA SONIFICATION: CAN WE HEAR ITS ELEGANT MOVEMENT?

Takeshi Yamada, S. Makino, A. Fukamizu, 2011 .

Geometrically Constrained Independent Vector Analysis with Auxiliary Function Approach and Iterative Source Steering

Takeshi Yamada, S. Makino, Tetsuya Ueda, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Inter-subject differences in personalized technical ear training and the influence of an individually optimized training sequence

Sungyoung Kim, Shoji Makino, Hiroko Terasawa, 2013 .

Method and apparatus for echo cancellation with the application of the "fast projection scheme"

Masashi Tanaka, Shoji Makino, Yutaka Kaneda, 1995 .

Speech Emotion Recognition Based on Self-Attention Weight Correction for Acoustic and Text Features

Takeshi Yamada, S. Makino, Jennifer Santoso, 2022, IEEE Access.

Exponentially weighted step-size projection algorithm for acoustic echo cancellers

Shoji Makino, S. Makino, 1992 .

A Low Cost Scheme for Tracking the Lives Buried in Landslides

T. Sejnowski, S. Araki, R. Mukai, 2011 .

Multichannel Signal Enhancement Algorithms for Assisted Listening Devices: Exploiting spatial diversity using multiple microphones

Sven Nordholm, Walter Kellermann, Shoji Makino, 2015, IEEE Signal Processing Magazine.

Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and L1-Norm Minimization

Hiroshi Sawada, Walter Kellermann, Shoji Makino, 2007, Blind Speech Separation.

Speech emotion recognition based on the reconstruction of acoustic and text features in latent space

Takeshi Yamada, S. Makino, Jennifer Santoso, 2022, 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Speech Emotion Recognition Based on Attention Weight Correction Using Word-Level Confidence Measure

Kenkichi Ishizuka, Takeshi Yamada, Shoji Makino, 2021, Interspeech.

Sound Timbre and Spatial Location as Informative Cues in Auditory BCI - Brain Evoked Potential Enhan

Hiroko Terasawa, Takeshi Yamada, Shoji Makino, 2011 .

Comparison of superimposition and sparse models in blind source separation by multichannel Wiener filter

Takeshi Yamada, Shoji Makino, Shigeki Miyabe, 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.

Diffuse noise suppression with asynchronous microphone array based on amplitude additivity model

Takeshi Yamada, Shoji Makino, Nobutaka Ono, 2015, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

Noise Suppression Using Beamformer and Transfer-Function-Gain Nonnegative Matrix Factorization with Distributed Stereo Microphones

Nobutaka Ono, Takeshi Yamada, S. Makino, 2023, Journal of Signal Processing.

Subjective and objective quality evaluation of noise-reduced speech

Takeshi Yamada, Nobuhiko Kitawaki, Shoji Makino, 2011 .

EEG Signal Processing and Classification for the Novel Tactile-Force Brain-Computer Interface Paradigm

Shoji Makino, Tomasz M. Rutkowski, Daiki Aminaka, 2013, 2013 International Conference on Signal-Image Technology & Internet-Based Systems.

Frequency-Domain Pearson Distribution Approach for Independent Component Analysis (FD-Pearson-ICA) in Blind Source Separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Parametric-Pearson-based independent component analysis for frequency-domain blind speech separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006, 2006 14th European Signal Processing Conference.

Blind source separation of convolutive mixtures

Shoji Makino, S. Makino, 2006, SPIE Defense + Commercial Sensing.

Frequency-Domain Blind Source Separation of Many Speech Signals Using Near-Field and Far-Field Models

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006, EURASIP J. Adv. Signal Process..

Audio source separation based on independent component analysis

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

MULTISTAGE ICA FOR BLIND SOURCE SEPARATION OF REAL ACOUSTIC CONVOLUTIVE MIXTURE

Kiyohiro Shikano, Shoko Araki, Shoji Makino, 2003 .

Blind separation of post-nonlinear mixtures using gaussianizing transformations and temporal decorrelation

Andreas Ziehe, A. Cichocki, S. Makino, 2003 .

Blind Source Separation of Convolutive Mixtures of Speech

Shoji Makino, S. Makino, 2003 .

Blind source separation with different sensor spacing and filter length for each frequency range

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Polar coordinate based nonlinear function for frequency-domain blind source separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

The past, present and future of audio signal processing

Shoji Makino, M. Bosi, M. Kahrs, 1997, IEEE Signal Process. Mag..

Stereo echo cancellation algorithm using adaptive update on the basis of enhanced input-signal vector

Satoru Emura, Shoji Makino, Youichi Haneda, 2006, Signal Process..

Blind Source Separation for Convolutive Mixtures of Speech using Subband processing

Shoko Araki, Shoji Makino, Tsuyoki Nishikawa, 2002 .

ON-LINE TIME-DOMAIN BLIND SOURCE SEPARATION OF NONSTATIONARY CONVOLVED SIGNALS

Shoko Araki, Shoji Makino, Robert Aichner, 2003 .

BLIND SOURCE SEPARATION FOR CONVOLUTIVE MIXTURES BASED ON COMPLEXITY MINIMIZATION S

Hiroshi Sawada, Shoji Makino, Ryo Mukai, 2003 .

THE NETWORK STRUCTURE IN THE COMMUNICATION OF MUSICAL EMOTION

S. Makino, K. Okanoya, Reiko Hoshi-Shiba, 2012 .

Tactile and bone-conduction auditory brain computer interface for vision and hearing impaired users

Tomasz M. Rutkowski, Hiromu Mori, S. Makino, 2014, Journal of Neuroscience Methods.

Natural gradient multichannel blind deconvolution and speech separation using causal FIR filters

Hiroshi Sawada, Scott C. Douglas, Shoji Makino, 2004, IEEE Transactions on Speech and Audio Processing.

Speech Enhancement

Jacob Benesty, Shoji Makino, Jingdong Chen, 2010 .

TDOA estimation by mapped steered response power analysis utilizing higher-order moments

Takeshi Yamada, Shoji Makino, Shigeki Miyabe, 2014, Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific.

Real-Time Blind Source Separation for Moving Speech Signals

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2005 .

Blind Source Separation for MOving Speech Signals Using Blockwise ICA and Residual Crosstalk Subtraction

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004 .

Robust real-time blind source separation for moving speakers in a room

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

A block exact fast affine projection algorithm

Masashi Tanaka, Shoji Makino, Junji Kojima, 1999, IEEE Trans. Speech Audio Process..

A stereo echo canceller implemented using a stereo shaker and a duo-filter control system

Shoji Makino, Akira Nakagawa, Suehiro Shimauchi, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Common-acoustical-pole and zero modeling of head-related transfer functions

Nobuhiko Kitawaki, Shoji Makino, Youichi Haneda, 1999, IEEE Trans. Speech Audio Process..

Multiple-point equalization of room transfer functions by using common acoustical poles

Shoji Makino, Youichi Haneda, Yutaka Kaneda, 1997, IEEE Trans. Speech Audio Process..

Modeling of a room transfer function using common acoustical poles

Shoji Makino, Yutaka Kaneda, Y. Haneda, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, Signal Process..

Supervised Determined Source Separation with Multichannel Variational Autoencoder

Hirokazu Kameoka, Li Li, Shoji Makino, 2019, Neural Computation.

Reducing algorithmic delay using low-overlap window for online Wave-U-Net

Takeshi Yamada, S. Makino, Li Li, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Blind Speech Separation

Te-Won Lee, Shoji Makino, Hiroshi Sawada, 2007, Blind Speech Separation.

Estimating Correlation Coefficient Between Two Complex Signals Without Phase Observation

Shoji Makino, Shigeki Miyabe, Notubaka Ono, 2015, LVA/ICA.

Blind compensation of interchannel sampling frequency mismatch for ad hoc microphone array based on maximum likelihood estimation

Shoji Makino, Nobutaka Ono, Shigeki Miyabe, 2015, Signal Process..

Optimizing frame analysis with non-integrer shift for sampling mismatch compensation of long recording

Shoji Makino, Nobutaka Ono, Shigeki Miyabe, 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Blind compensation of inter-channel sampling frequency mismatch with maximum likelihood estimation in STFT domain

Shoji Makino, Nobutaka Ono, Shigeki Miyabe, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

A robust and precise method for solving the permutation problem of frequency-domain blind source separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, IEEE Transactions on Speech and Audio Processing.

Separation and dereverberation performance of frequency domain blind source separation for speech in a reverberant environment

Shoko Araki, Shoji Makino, Ryo Mukai, 2001, INTERSPEECH.

Equivalence between Frequency-Domain Blind Source Separation and Frequency-Domain Adaptive Beamforming for Convolutive Mixtures

Shoko Araki, Shoji Makino, Ryo Mukai, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Chromatic and high-frequency cVEP-based BCI paradigm

Shoji Makino, Tomasz M. Rutkowski, Daiki Aminaka, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Chromatic SSVEP BCI paradigm targeting the higher frequency EEG responses

Shoji Makino, Tomasz M. Rutkowski, Daiki Aminaka, 2014, Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific.

Bone-Conduction-Based Brain Computer Interface Paradigm -- EEG Signal Processing, Feature Extraction and Classification

Shoji Makino, Koichi Mori, Tomasz M. Rutkowski, 2013, 2013 International Conference on Signal-Image Technology & Internet-Based Systems.

Multi-command Chest Tactile Brain Computer Interface for Small Vehicle Robot Navigation

Shoji Makino, Tomasz M. Rutkowski, Hiromu Mori, 2013, Brain and Health Informatics.

Exponentially weighted stepsize NLMS adaptive filter based on the statistics of a room impulse response

Shoji Makino, Yutaka Kaneda, Nobuo Koizumi, 1993, IEEE Trans. Speech Audio Process..

Measuring Dependence of Bin-wise Separated Signals for Permutation Alignment in Frequency-domain BSS

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, 2007 IEEE International Symposium on Circuits and Systems.

Hierarchical clustering applied to overcomplete BSS for convolutive mixtures

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, SAPA@INTERSPEECH.

Common acoustical pole and zero modeling of room transfer functions

Shoji Makino, Youichi Haneda, Yutaka Kaneda, 1994, IEEE Trans. Speech Audio Process..

Brain Evoked Potential Latencies Optimization for Spatial Auditory Brain–Computer Interface

Shoji Makino, Tomasz M. Rutkowski, Zhenyu Cai, 2015, Cognitive Computation.

Comparison of P300 Responses in Auditory, Visual and Audiovisual Spatial Speller BCI Paradigms pdf

Danilo P. Mandic, Shoji Makino, Moonjeong Chang, 2013, ArXiv.

DOA Estimation for Multiple Sparse Sources with Arbitrarily Arranged Multiple Sensors

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2011, J. Signal Process. Syst..

Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior

Hiroshi Sawada, Tomohiro Nakatani, Shoko Araki, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

MAP-Based Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and -Norm Minimization

Hiroshi Sawada, Walter Kellermann, Shoji Makino, 2007, EURASIP J. Adv. Signal Process..

Auditory steady-state response stimuli based BCI application - the optimization of the stimuli types and lengths

Shoji Makino, Nozomu Nishikawa, Tomasz M. Rutkowski, 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.

Spatial Tactile Brain-Computer Interface Paradigm Applying Vibration Stimuli to Large Areas of User's Back pdf

Shoji Makino, Tomasz M. Rutkowski, Takumi Kodama, 2014, ArXiv.

A Fast Projection Algorithm for Adaptive Filtering

Shoji Makino, Yutaka Kaneda, S. Makino, 1995 .

Fast projection algorithm and its step size control

Masashi Tanaka, Shoji Makino, Junji Kojima, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

SVM classification study of code-modulated visual evoked potentials

Shoji Makino, Tomasz M. Rutkowski, Daiki Aminaka, 2015, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

EEG Filtering Optimization for Code-Modulated Chromatic Visual Evoked Potential-Based Brain-Computer Interface

Shoji Makino, Tomasz M. Rutkowski, Daiki Aminaka, 2015, Symbiotic.

Classification Accuracy Improvement of Chromatic and High-Frequency Code-Modulated Visual Evoked Potential-Based BCI

Shoji Makino, Tomasz M. Rutkowski, Daiki Aminaka, 2015, BIH.

Ego Noise Reduction for Hose-Shaped Rescue Robot Combining Independent Low-Rank Matrix Analysis and Multichannel Noise Cancellation

Takeshi Yamada, Shoji Makino, Hiroshi Saruwatari, 2016, LVA/ICA.

Performance estimation of spontaneous speech recognition using non-reference acoustic features

Takeshi Yamada, Shoji Makino, Ling Guo, 2016, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

Teacher-Student Learning for Low-Latency Online Speech Enhancement Using Wave-U-Net

Shoji Makino, Li Li, Shota Inoue, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Underdetermined DOA Estimation by the Non-Linear MUSIC Exploiting Higher-Order Moments

Biing-Hwang Juang, Takeshi Yamada, Shoji Makino, 2012, IWAENC.

Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment

S. Araki, H. Sawada, S. Makino, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Direction of arrival estimation for multiple source signals using independent component analysis

Hiroshi Sawada, Shoji Makino, Ryo Mukai, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Ego Noise Reduction and Sound Localization Adapted to Human Ears Using Hose-shaped Rescue Robot

Nobutaka Ono, H. Saruwatari, Daichi Kitamura, 2018 .

EEG steady state synchrony patterns sonification

Hiroko Terasawa, Shoji Makino, Tomasz M. Rutkowski, 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.

Underdetermined blind separation for speech in real environments with sparseness and ICA

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results

J. Rosca, E. Vincent, H. Sawada, 2007, ICA.

Spatial Location and Sound Timbre as Informative Cues in Auditory BCI / BMI-Electrodes Position Optimization for Brain Evoked Potential Enhancement

Tomasz M. Rutkowski, Takeshi Yamada, S. Makino, 2011 .

A spatio-temporal fastICA algorithm for separating convolutive mixtures

Hiroshi Sawada, Scott C. Douglas, Shoji Makino, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Tactile brain-computer interface using classification of P300 responses evoked by full body spatial vibrotactile stimuli

Shoji Makino, Tomasz M. Rutkowski, Takumi Kodama, 2016, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

Spatial Auditory Two-step Input Japanese Syllabary Brain-computer Interface Speller

Shoji Makino, Tomasz M. Rutkowski, Koichi Mori, 2014 .

Overcomplete BSS for Convolutive Mixtures Based on Hierarchical Clustering

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, ICA.

Fundamental limitation of frequency domain blind source separation for convolutive mixture of speech

Shoko Araki, Shoji Makino, Tsuyoki Nishikawa, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Grouping Separated Frequency Components by Estimating Propagation Model Parameters in Frequency-Domain Blind Source Separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

A robust approach to the permutation problem of frequency-domain blind source separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

BLIND SOURCE SEPARATION AND DOA ESTIMATION USING SMALL 3-D MICROPHONE ARRAY

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004 .

Geometrically Constrained Independent Component Analysis

Shoko Araki, Shoji Makino, Mirko Knaak, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Blind Extraction of Dominant Target Sources Using ICA and Time-Frequency Masking

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Blind Speech Separation in a Meeting Situation with Maximum SNR Beamformers

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Accelerating online algorithm using geometrically constrained independent vector analysis with iterative source steering

Takeshi Yamada, S. Makino, Tetsuya Ueda, 2022, 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Low Latency Online Source Separation and Noise Reduction Based on Joint Optimization with Dereverberation

Tomohiro Nakatani, Shoko Araki, Keisuke Kinoshita, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Online Directional Speech Enhancement Using Geometrically Constrained Independent Vector Analysis

Shoji Makino, Li Li, Kazuhito Koishida, 2020, INTERSPEECH.

Determined Audio Source Separation with Multichannel Star Generative Adversarial Network

Hirokazu Kameoka, Li Li, Shoji Makino, 2020, 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP).

Reducing musical noise by a fine-shift overlap-add method applied to source separation using a time-frequency mask

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Underdetermined BSS with multichannel complex NMF assuming W-disjoint orthogonality of source

Hirokazu Kameoka, Hiroshi Sawada, Shoko Araki, 2011, TENCON 2011 - 2011 IEEE Region 10 Conference.

Convolutive blind source separation for more than two sources in the frequency domain

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis pdf

Shoji Makino, Hiroshi Saruwatari, Daichi Kitamura, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Subband-Based Blind Separation for Convolutive Mixtures of Speech

Shoko Araki, Shoji Makino, Tsuyoki Nishikawa, 2005, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Multiple source localization using independent component analysis

S. Araki, H. Sawada, R. Mukai, 2005, 2005 IEEE Antennas and Propagation Society International Symposium.

Blind Source Separation of Convolutive Mixtures of Speech in Frequency Domain

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2005, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Subband based blind source separation for convolutive mixtures of speech

Shoko Araki, Shoji Makino, Tsuyoki Nishikawa, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Frequency-Domain Blind Source Separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, Blind Speech Separation.

Subband Based Blind Source Separation

Shoko Araki, Shoji Makino, S. Araki, 2005 .

Numerical Investigation of Weight Parameters For Geometrically Constrained Independent Vector Analysis Using Vectorwise Coordinate Descent or Iterative Source Steering

Takeshi Yamada, S. Makino, Tetsuya Ueda, 2022, International Workshop on Acoustic Signal Enhancement.

Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years

Walter Kellermann, S. Gannot, P. Naylor, 2023, IEEE Signal Processing Magazine.

Adaptive processing and learning for audio source separation

Jen-Tzung Chien, Hiroshi Sawada, Shoji Makino, 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

MLSP 2007 Data Analysis Competition: Frequency-Domain Blind Source Separation for Convolutive Mixtures of Speech/Audio Signals

S. Araki, H. Sawada, S. Makino, 2007, 2007 IEEE Workshop on Machine Learning for Signal Processing.

Spatio–Temporal FastICA Algorithms for the Blind Separation of Convolutive Mixtures

Hiroshi Sawada, Scott C. Douglas, Shoji Makino, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Blind separation and localization of speeches in a meeting situation

S. Araki, H. Sawada, R. Mukai, 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

Frequency-Domain Blind Source Separation

S. Araki, H. Sawada, S. Makino, 2007, Blind Speech Separation.

Solving the Permutation and Circularity Problems of Frequency-Domain Blind Source Separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2003 .

Equivalence between frequency domain blind source separation and frequency domain adaptive beamforming

T. Nishikawa, H. Saruwatari, S. Araki, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Underdetermined source separation for colored sources

Hiroshi Sawada, Walter Kellermann, Shoji Makino, 2006, 2006 14th European Signal Processing Conference.

Improving Singing Aid System for Laryngectomees With Statistical Voice Conversion and VAE-SPACE

Tomoki Toda, Li Li, Shoji Makino, 2019, ISMIR.

Multi-Talker Speech Recognition Based on Blind Source Separation with ad hoc Microphone Array Using Smartphones and Cloud Storage

Keiko Ochi, Shoji Makino, Nobutaka Ono, 2016, INTERSPEECH.

Stereo projection echo canceller with true echo path estimation

Shoji Makino, Suehiro Shimauchi, S. Makino, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.