Shoji Makino

发表

Underdetermined Blind Separation of Convolutive Mixtures of Speech with Directivity Pattern Based Mask and ICA

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

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

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

A block exact fast affine projection algorithm

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

Fast MVAE: Joint Separation and Classification of Mixed Sources Based on Multichannel Variational Autoencoder with Auxiliary Classifier

Li Li, Hirokazu Kameoka, Shoji Makino, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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).

Enhanced frequency-domain adaptive algorithm for stereo echo cancellation

Satoru Emura, Shoji Makino, Youichi Haneda, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Performance estimation of noisy speech recognition using spectral distortion and recognition task complexity

Takeshi Yamada, Nobuhiko Kitawaki, Shoji Makino, 2016 .

Convolutional neural network architecture and input volume matrix design for ERP classifications in a tactile P300-based Brain-Computer Interface

Shoji Makino, Takumi Kodama, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Frequency-Domain Blind Source Separation

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

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.

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

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006 .

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).

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.

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.

Sonification of muscular activity in human movements using the temporal patterns in EMG

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

Overcomplete BSS for Convolutive Mixtures Based on Hierarchical Clustering

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

P300 responses classification improvement in tactile BCI with touch-sense glove

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

Removal of residual crosstalk components in blind source separation using LMS filters

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

Tactile pressure brain-computer interface using point matrix pattern paradigm

Kensuke Shimizu, Shoji Makino, Tomasz M. Rutkowski, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Restoration of clipped audio signal using recursive vector projection

Kazuhiro Nakadai, Shoji Makino, Hirofumi Nakajima, 2011, TENCON 2011 - 2011 IEEE Region 10 Conference.

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.

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.

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.

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

Noise reduction for a hose-shaped rescue robot using rank-1 multichannel NMF

Takeshi Yamada, Shoji Makino, Hiroshi Saruwatari, 2016 .

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

Yoshio Matsumoto, Shoji Makino, Nozomu Nishikawa, 2012 .

Common acoustical pole and zero modeling of room transfer functions

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

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.

A sparseness-mixing matrix estimation (SMME) solving the underdetermined BSS for convolutive mixtures

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

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).

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

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

Speech Enhancement Using Non-Negative Spectrogram Models with Mel-Generalized Cepstral Regularization

Li Li, Hirokazu Kameoka, Tomoki Toda, 2017, INTERSPEECH.

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.

Geometrically Constrained Independent Component Analysis

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

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..

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..

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

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004 .

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

Li Li, Shoji Makino, Yuki Koshino, 2019 .

Performance evaluation of acoustic scene classification using DNN-GMM and frame-concatenated acoustic features

Takeshi Yamada, Shoji Makino, Nobutaka Ono, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

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

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

Online Integration of DNN-Based and Spatial Clustering-Based Mask Estimation for Robust MVDR Beamforming

Tomohiro Nakatani, Shoko Araki, Marc Delcroix, 2018, 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC).

Blind Audio Source Separation Based on Independent Component Analysis

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, ICA.

Exponentially weighted step-size projection algorithm for acoustic echo cancellers

Shoji Makino, S. Makino, 1992 .

Classifying P300 responses to vowel stimuli for auditory brain-computer interface

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

Blind Speech Separation

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

On Coefficient Delay in Natural Gradient Blind Deconvolution and Source Separation Algorithms

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

Classification of causes of speech recognition errors using attention-based bidirectional long short-term memory and modulation spectrum

Shoji Makino, Takeshi Yamada, Jennifer Santoso, 2019, 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

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).

Special Section on Acoustic Scene Analysis and Reproduction

Shoji Makino, 2008, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

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.

The past, present and future of audio signal processing

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

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.

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.

Subjective Assessment of the Desired Echo Return Loss for Subband Acoustic Echo Cancellers

Masashi Tanaka, Shoji Makino, Yutaka Kaneda, 2000 .

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

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

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.

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

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

Geometrical understanding of the PCA subspace method for overdetermined blind source separation

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

Adaptive post-filtering controlled by pitch frequency for CELP-based speech coder

Takeshi Yamada, Takehiro Moriya, Shoji Makino, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

Microphone Position Realignment by Extrapolation of Virtual Microphone

Takeshi Yamada, Shoji Makino, Ryoga Jinzai, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Method and apparatus for multi-channel acoustic echo compensation of a

Shoji Makino, Suehiro Shimauchi, Yutaka Kaneda, 1999 .

MULTISTAGE ICA FOR BLIND SOURCE SEPARATION OF REAL ACOUSTIC CONVOLUTIVE MIXTURE

Kiyohiro Shikano, Shoko Araki, Shoji Makino, 2003 .

The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech

Shoko Araki, Shoji Makino, Ryo Mukai, 2003, IEEE Trans. Speech Audio Process..

Steady-State Auditory Responses Application to BCI/BMI

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

Missing feature speech recognition in a meeting situation with maximum SNR beamforming

Dorothea Kolossa, Tomohiro Nakatani, Shoko Araki, 2008, 2008 IEEE International Symposium on Circuits and Systems.

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

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

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

Shoji Makino, Yutaka Kaneda, Yoichi Haneda, 1994 .

Spatial Auditory Brain-computer Interface using Head Related Impulse Response

Shoji Makino, Koichi Mori, Tomasz M. Rutkowski, 2015 .

Stereophonic acoustic echo cancellation: An overview and recent solutions

Shoji Makino, 2001 .

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.

Multicommand Tactile Brain Computer Interface based on Fingertips or Head Stimulation pdf

Shoji Makino, Zbigniew R. Struzik, Koichi Mori, 2012, ArXiv.

Nonlinear speech enhancement by virtual increase of channels and maximum SNR beamformer

Takeshi Yamada, Shoji Makino, Nobutaka Ono, 2016, EURASIP J. Adv. Signal Process..

SSB subband echo canceller using low-order projection algorithm

Shoji Makino, Akira Nakagawa, Youichi Haneda, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

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

Masashi Tanaka, Shoji Makino, Yutaka Kaneda, 1995 .

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.

Speaker indexing and speech enhancement in real meetings / conversations

Masakiyo Fujimoto, Hiroshi Sawada, Shoko Araki, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Relationship between the "ES family" Algorithms and Conventional Adaptive Algorithms

Shoji Makino, 1996 .

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.

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.

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.

Spatial Tactile and Auditory Brain Computer Interface based on Head Position Stimulation

Danilo P. Mandic, Shoji Makino, Zbigniew R. Struzik, 2013 .

Distance attenuation control of spherical loudspeaker array

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

An MPEG-2 to H.264 Transcoding Preserving DCT Types and Motion Vectors to Suppress Re-Quantization Noise for Interlace Contents

Nobuhiko Kitawaki, Shoji Makino, Kazuto Kamikura, 2011 .

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..

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

Sungyoung Kim, Shoji Makino, Hiroko Terasawa, 2013 .

A Two-Stage Frequency-Domain Blind Source Separation Method for Underdetermined Convolutive Mixtures

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

New analytical update rule for TDOA inference for underdetermined BSS in noisy environments

Tomohiro Nakatani, Shoko Araki, Takeshi Yamada, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Haptic BCI Paradigm based on Somatosensory Evoked Potential pdf

Shoji Makino, Moonjeong Chang, Nozomu Nishikawa, 2012, ArXiv.

Estimating the Number of Sources for Frequency-Domain Blind Source Separation

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

Cepstral smoothing of separated signals for underdetermined speech separation

Tomohiro Nakatani, Shoko Araki, Takeshi Yamada, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Subband-Based Blind Separation for Convolutive Mixtures of Speech

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

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.

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 .

Semi-blind source separation with multichannel variational autoencoder pdf

Li Li, Hirokazu Kameoka, Shoji Makino, 2018, ArXiv.

Frequency Domain Blind Source Separation for Many Speech Signals

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

Low Latency and High Quality Two-Stage Human-Voice-Enhancement System for a Hose-Shaped Rescue Robot

Satoshi Tadokoro, Katsutoshi Itoyama, Kazuyoshi Yoshii, 2017, J. Robotics Mechatronics.

Multi-command Tactile and Auditory Brain Computer Interface based on Head Position Stimulation pdf

Danilo P. Mandic, Shoji Makino, Zbigniew R. Struzik, 2013, ArXiv.

An Extension of MUSIC Exploiting Higher-Order Moments via Nonlinear Mapping

Biing-Hwang Juang, Takeshi Yamada, Shoji Makino, 2016, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

A study of decorrelation on a stereo echo canceller

Shoji Makino, Suehiro Shimauchi, Sumitaka Sakauchi, 1999 .

Analysis of Brain Responses to Spatial Real and Virtual Sounds - A BCI/BMI Approach

Shoji Makino, Nozomu Nishikawa, Tomasz M. Rutkowski, 2012 .

On Calculating the Inverse of Separation Matrix in Frequency-Domain Blind Source Separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006, ICA.

Sound source localization using binaural difference for hose-shaped rescue robot

Takeshi Yamada, Shoji Makino, Hiroshi Saruwatari, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Auditory Brain-Computer Interface Paradigm with Head Related Impulse Response-Based Spatial Cues

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

Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors

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

A VC-1 to H.264/AVC Intra Transcoding using Encoding Information to Reduce Re-Quantization Noise

Nobuhiko Kitawaki, Shoji Makino, Kazuto Kamikura, 2010 .

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

Keikichi Hirose, Seiichi Nakagawa, Shoji Makino, 1990 .

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

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

Normalized observation vector clustering approach for sparse source separation

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

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

Shoko Araki, Shoji Makino, Ryo Mukai, 2002, ICASSP.

Stereo Source Separation and Source Counting with MAP Estimation with Dirichlet Prior Considering Spatial Aliasing Problem

Hiroshi Sawada, Tomohiro Nakatani, Shoko Araki, 2009, ICA.

Multiple far noise suppression in a real environment using transfer-function-gain NMF

Takeshi Yamada, Shoji Makino, Nobutaka Ono, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Hierarchical clustering applied to overcomplete BSS for convolutive mixtures

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

Majorization-Minimization Algorithm for Discriminative Non-Negative Matrix Factorization

Hirokazu Kameoka, Li Li, Shoji Makino, 2020, IEEE Access.

Blind extraction of a dominant source signal from mixtures of many sources [audio source separation applications]

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

Near-field frequency domain blind source separation for convolutive mixtures

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

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

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

Introduction to the Special Section on Blind Signal Processing for Speech and Audio Applications

Guy J. Brown, Te-Won Lee, Shoji Makino, 2007 .

Automatic scoring method for open answer task in the SJ-CAT speaking test considering utterance difficulty level

Kenkichi Ishizuka, Takeshi Yamada, Ryuichi Nisimura, 2014, Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific.

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

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004 .

Spatial auditory BCI with ERP responses to front-back to the head stimuli distinction support

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

Evaluation of separation and dereverberation performance in frequency domain blind source separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004 .

Wavelength Proportional Arrangement of Virtual Microphones Based on Interpolation/Extrapolation for Underdetermined Speech Enhancement

Shoji Makino, Takeshi Yamada, Mitsuo Matsumoto, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Comparison of MOS evaluation characteristics for Chinese, Japanese, and English in IP telephony

Takeshi Yamada, Nobuhiko Kitawaki, Shoji Makino, 2010, 2010 4th International Universal Communication Symposium.

Performance estimation of noisy speech recognition considering recognition task complexity

Takeshi Yamada, Tomohiro Nakajima, Nobuhiko Kitawaki, 2010, INTERSPEECH.

Underdetermined sparse source separation of convolutive mixtures with observation vector clustering

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006, 2006 IEEE International Symposium on Circuits and Systems.

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.

Spatial auditory BCI paradigm utilizing N200 and P300 responses

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

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).

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

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

Evaluation of Multichannel Hearing Aid System by Rank-Constrained Spatial Covariance Matrix Estimation

Hiroshi Saruwatari, Shoji Makino, Daichi Kitamura, 2019, 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

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

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

Guest Editors' Introduction: Special Section on Emergent Systems, Algorithms and Architectures for Speech-Based Human-Machine Interaction

Li Deng, Shoji Makino, Rodrigo Capobianco Guido, 2007, IEEE Trans. Computers.

Joint Separation and Dereverberation of Reverberant Mixtures with Multichannel Variational Autoencoder

Hirokazu Kameoka, Shoji Makino, Li Li, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Scott C. Douglas, Shoji Makino, Hiroshi Sawada, 2005, IEEE Trans. Speech Audio Process..

New analytical calculation and estimation of TDOA for underdetermined BSS in noisy environments

Tomohiro Nakatani, Shoko Araki, Takeshi Yamada, 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.

Employing moments of multiple high orders for high-resolution underdetermined DOA estimation based on MUSIC

Biing-Hwang Juang, Takeshi Yamada, Shoji Makino, 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Classification improvement of P300 response based auditory spatial speller brain-computer interface paradigm

Shoji Makino, Tomasz M. Rutkowski, Moonjeong Chang, 2013, 2013 IEEE International Conference of IEEE Region 10 (TENCON 2013).

REAL-TIME BLIND EXTRACTION OF DOMINANT TARGET SOURCES FROM MANY BACKGROUND INTERFERENCE SOURCES

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2005 .

Estimating Correlation Coefficient Between Two Complex Signals Without Phase Observation

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

DOA Estimation for Multiple Sparse Sources with Arbitrarily Arranged Multiple Sensors

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

Solving the Permutation Problem of Frequency-Domain BSS when Spatial Aliasing Occurs with Wide Sensor Spacing

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Experimental evaluation of encoding parameters of MPEG-4 ALS for high-resolution audio

Takeshi Yamada, Takehiro Moriya, Shoji Makino, 2017, 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE).

Speech Enhancement (Signals and Communication Technology)

Jacob Benesty, Jingdong Chen, Shoji Makino, 2005 .

Underdetermined blind speech separation with directivity pattern based continuous mask and ICA

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, 2004 12th European Signal Processing Conference.

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.

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)..

Ego-noise reduction for a hose-shaped rescue robot using determined rank-1 multichannel nonnegative matrix factorization

Takeshi Yamada, Shoji Makino, Hiroshi Saruwatari, 2016, 2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC).

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

Shoko Araki, Shoji Makino, Robert Aichner, 2003 .

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 new design for program‐controlled voice switching circuits using a microprocessor

Shoji Makino, Masakazu Nishino, Hiroshi Oikawa, 1995 .

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

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

On microphone arrangement for multichannel speech enhancement based on nonnegative matrix factorization in time-channel domain

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

Ad-hoc Microphone Array

Shoji Makino, Shigeki Miyabe, Nobutaka Ono, 2014 .

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.

Network Based Complexity Analysis in Tactile Brain Computer Interface Task

Danilo P. Mandic, Shoji Makino, Zbigniew R. Struzik, 2013 .

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..

Acoustic Scene Classification Based on Spatial Feature Extraction Using Convolutional Neural Networks

Takeshi Yamada, Shoji Makino, Gen Takahashi, 2018 .

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

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.

MPEG-2/H.264 Transcoding with Vector Conversion Reducing Re-Quantization Noise

Kazuto Kamikura, Nobuhiko Kitawaki, Shoji Makino, 2010, 2010 Proceedings of 19th International Conference on Computer Communications and Networks.

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).

Inter-stimulus interval study for the tactile point-pressure brain-computer interface

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

Online Directional Speech Enhancement Using Geometrically Constrained Independent Vector Analysis

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

Blind source separation of mixed speech in a high reverberation environment

Hiroshi Sawada, Tomohiro Nakatani, Shoko Araki, 2011, 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays.

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

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004 .

FastMVAE: A Fast Optimization Algorithm for the Multichannel Variational Autoencoder Method

Hirokazu Kameoka, Li Li, Shoji Makino, 2020, IEEE Access.

Subband stereo echo canceller using the projection algorithm with fast convergence to the true echo path

Shoji Makino, Akira Nakagawa, Youichi Haneda, 1997, 1997 IEEE 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).

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)..

ARRAY GEOMETRY ARRANGEMENT FOR FREQUENCY DOMAIN BLIND SOURCE SEPARATION

Shoko Araki, Shoji Makino, Ryo Mukai, 2003 .

Frequency Domain Blind Source Separation of a Reduced Amount of Data Using Frequency Normalization

Hiroshi Sawada, Shoji Makino, Enrique Robledo-Arnuncio, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Signal Processing Techniques for Assisted Listening [From the Guest Editors]

Vesa Välimäki, Sven Nordholm, Walter Kellermann, 2015, IEEE Signal Process. Mag..

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..

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.

Equivalence between Frequency Domain Blind Source Separation and Adaptive Beamforming

Shoko Araki, Shoji Makino, Tsuyoki Nishikawa, 2002 .

Implementation and evaluation of an acoustic echo canceller using duo-filter control system

Shoji Makino, Junji Kojima, Youichi Haneda, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

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.

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.

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.

Removal of residual cross-talk components in Blind Source Separation using time-delayed spectral subtraction

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

BLIND SOURCE SEPARATION FOR CONVOLUTIVE MIXTURES BASED ON COMPLEXITY MINIMIZATION S

Hiroshi Sawada, Shoji Makino, Ryo Mukai, 2003 .

Ego noise reduction for hose-shaped rescue robot combining independent low-rank matrix analysis and noise cancellation

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

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.

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.

New configuration for a stereo echo canceller with nonlinear pre-processing

Shoji Makino, Youichi Haneda, Suehiro Shimauchi, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

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

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

Speech Enhancement

Jacob Benesty, Shoji Makino, Jingdong Chen, 2010 .

Noise reduction using independent vector analysis and noise cancellation for a hose-shaped rescue robot

Takeshi Yamada, Shoji Makino, Hiroshi Saruwatari, 2016, 2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC).

ELECTROENCEPHALOGRAM STEADY STATE RESPONSE SONIFICATION FOCUSED ON THE SPATIAL AND TEMPORAL PROPERTIES

Hiroko Terasawa, Shoji Makino, Masaki Matsubara, 2014 .

Multi-command Tactile Brain Computer Interface: A Feasibility Study pdf

Hitoshi Ogawa, Victor V. Kryssanov, Shoji Makino, 2013, HAID.

REAL-TIME BLIND SOURCE SEPARATION FOR MOVING SPEAKERS USING BLOCKWISE ICA AND RESIDUAL CROSSTALK SUBTRACTION

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2003 .

Guest Editorial Special Section on Blind Signal Processing and Its Applications

Wei Xing Zheng, Andrzej Cichocki, Aurelio Uncini, 2010, IEEE Trans. Circuits Syst. I Regul. Pap..

PERFORMANCE EVALUATION OF SPARSE SOURCE SEPARATION AND DOA ESTIMATION WITH OBSERVATION VECTOR CLUSTERING IN REVERBERANT ENVIRONMENTS

Shoko Araki, Shoji Makino, Ryo Mukai, 2006 .

Virtually increasing microphone array elements by interpolation in complex-logarithmic domain

Takeshi Yamada, Shoji Makino, Nobutaka Ono, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

CNN-based virtual microphone signal estimation for MPDR beamforming in underdetermined situations

Li Li, Shoji Makino, Nobutaka Ono, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Vibrotactile stimulus frequency optimization for the haptic BCI prototype

Victor V. Kryssanov, Shoji Makino, Tomasz M. Rutkowski, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

Blind Source Separation of Convolutive Mixtures of Speech

Shoji Makino, S. Makino, 2003 .

Supervised Determined Source Separation with Multichannel Variational Autoencoder

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

Psychophysical responses comparison in spatial visual, audiovisual, and auditory BCI-spelling paradigms

Shoji Makino, Moonjeong Chang, Nozomu Nishikawa, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

The spatial real and virtual sound stimuli optimization for the auditory BCI

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

Speech enhancement with ad-hoc microphone array using single source activity

Takeshi Yamada, Shoji Makino, Nobutaka Ono, 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

Channel-number-compressed multi-channel acoustic echo canceller for high-presence teleconferencing system with large display

Shoji Makino, Akira Nakagawa, Youichi Haneda, 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 .

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).

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..

Novel spatial tactile and bone-conduction auditory brain computer interface

Shoji Makino, Tomasz M. Rutkowski, Koichi Mori, 2013 .

Subband Based Blind Source Separation with Appropriate Processing for Each Frequency Band

Shoko Araki, Shoji Makino, Tsuyoki Nishikawa, 2003 .

Performance evaluation of nonlinear speech enhancement based on virtual increase of channels in reverberant environments

Takeshi Yamada, Shoji Makino, Nobutaka Ono, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Method for simulating an acoustic transfer function simulator and this

Shoji Makino, Yutaka Kaneda, Yoichi Haneda, 1992 .

Audio teleconferencing set with multipath echo canceller

Shoji Makino, Hiroshi Oikawa, Nobuo Koizumi, 1988 .

Traffic monitoring with ad-hoc microphone array

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

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.

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.

Abnormal sound detection by two microphones using virtual microphone technique

Takeshi Yamada, Shoji Makino, Nobutaka Ono, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

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.

Equivalence between frequency domain blind source separation and frequency domain adaptive null beamformers

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

Frequency domain blind source separation using small and large spacing sensor pairs

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

Generalized amplitude interpolation by β-divergence for virtual microphone array

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

Blind source separation of convolutive mixtures

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

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.

Fingertip stimulus cue-based tactile brain-computer interface

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

Discriminative non-negative matrix factorization with majorization-minimization

Li Li, Hirokazu Kameoka, Shoji Makino, 2017, 2017 Hands-free Speech Communications and Microphone Arrays (HSCMA).

Blind extraction of a dominant source from mixtures of many sources using ICA and time-frequency masking

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2005, 2005 IEEE International Symposium on Circuits and Systems.

Blind Source Separation for Convolutive Mixtures of Speech using Subband processing

Shoko Araki, Shoji Makino, Tsuyoki Nishikawa, 2002 .

Geometrically constraint ICA for convolutive mixtures of sound

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

Acoustic echo canceller algorithm based on the variation characteristics of a room impulse response

Shoji Makino, Yutaka Kaneda, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Geometrical Interpretation of the PCA Subspace Approach for Overdetermined Blind Source Separation

Hiroshi Sawada, Shoji Makino, Stefan Winter, 2006, EURASIP J. Adv. Signal Process..

Subjective and objective quality evaluation of noise-reduced speech

Takeshi Yamada, Nobuhiko Kitawaki, Shoji Makino, 2011 .

Performance estimation of noisy speech recognition using spectral distortion and SNR of noise-reduced speech

Takeshi Yamada, Nobuhiko Kitawaki, Shoji Makino, 2013, 2013 IEEE International Conference of IEEE Region 10 (TENCON 2013).

Blind Source Separation of Many Signals in the Frequency Domain

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Block Fast Projection Algorithm with Independent Block Sizes

Masashi Tanaka, Shoji Makino, Junji Kojima, 1997 .

Time-frequency-bin-wise Switching of Minimum Variance Distortionless Response Beamformer for Underdetermined Situations

Shoji Makino, Nobutaka Ono, Takeshi Yamada, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Doa Estimation for Multiple Sparse Sources with Normalized Observation Vector Clustering

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

SOURCE EXTRACTION FROM SPEECH MIXTURES WITH NULL-DIRECTIVITY PATTERN BASED MASK

Shoko Araki, Shoji Makino, Ryo Mukai, 2005 .

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

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2005 .

Mel-Generalized cepstral regularization for discriminative non-negative matrix factorization

Li Li, Hirokazu Kameoka, Shoji Makino, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Blind Source Separation Based on a Beamformer Array and Time Frequency Binary Masking

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

Underdetermined Blind Separation of Convolutive Mixtures of Speech Using Time-Frequency Mask and Mixing Matrix Estimation

Shoko Araki, Shoji Makino, Audrey Blin, 2005, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

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..

Applying independent vector analysis and noise cancellation to noise reduction for a hose-shaped rescue robot

Takeshi Yamada, Shoji Makino, Hiroshi Saruwatari, 2016 .

Stereo echo cancellation algorithm using imaginary input-output relationships

Shoji Makino, Suehiro Shimauchi, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Time-Frequency-Bin-Wise Beamformer Selection and Masking for Speech Enhancement in Underdetermined Noisy Scenarios

Takeshi Yamada, Walter Kellermann, Shoji Makino, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Fast projection algorithm and its step size control

Masashi Tanaka, Shoji Makino, Junji Kojima, 1995, 1995 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.

Development of High Quality Blind Source Separation Based on Independent Low-Rank Matrix Analysis and Statistical Speech Enhancement for Flexible Hose-Shaped Robot

Keiko Ochi, Shoji Makino, Hiroshi Saruwatari, 2017 .

A NOVEL BLIND SOURCE SEPARATION METHOD WITH OBSERVATION VECTOR CLUSTERING

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2005 .

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..

A new RLS algorithm based on the variation characteristics of a room impulse response

Shoji Makino, Yutaka Kaneda, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Unisoner: An Interactive Interface for Derivative Chorus Creation from Various Singing Voices on the Web

Masataka Goto, Tomoyasu Nakano, Takeshi Yamada, 2014, ICMC.

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).

Real-Time Blind Source Separation for Moving Speech Signals

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2005 .

Time domain blind source separation of non-stationary convolved signals by utilizing geometric beamforming

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

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

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

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 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.

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.

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)..

Subband Based Blind Source Separation

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

Tactile and bone-conduction auditory brain computer interface for vision and hearing impaired users — Stimulus pattern and BCI accuracy improvement

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

Weakly Labeled Learning Using BLSTM-CTC for Sound Event Detection

Takeshi Yamada, Shoji Makino, Reishi Kondo, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

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

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

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).

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

Hirokazu Kameoka, Shoji Makino, Li Li, 2021, ArXiv.

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).

SepNet: A Deep Separation Matrix Prediction Network for Multichannel Audio Source Separation

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

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).

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

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

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).

Single-Channel Multispeaker Separation with Variational Autoencoder Spectrogram Model

Hirokazu Kameoka, Shoji Makino, Li Li, 2021, Journal of Signal Processing.

A Fast Projection Algorithm for Adaptive Filtering

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

Blind Separation of More Speech than Sensors with Less Distortion by Combining Sparseness and ICA

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2003 .

Full – body Tactile P 300 – based Brain – computer Interface Accuracy Refinement

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

BLIND SPEECH SEPARATION BY COMBINING BEAMFORMERS AND A TIME FREQUENCY BINARY MASK

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006 .

Blind Source Separation when Speech Signals Outnumber Sensors using a Sparseness - Mixing Matrix Estimation (SMME)

Shoko Araki, Shoji Makino, Audrey Blin, 2003 .