Hiroaki Kudo

51 papers A 4B 6Misc 4Journal 22Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
A comprehensive study on supervised single-channel noisy speech separation with multi-task learning.
Speech Commun.
Shaoxiang Dang, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo
2025 A conf
First Analyze Then Enhance: A Task-Aware System for Speech Separation, Denoising, and Dereverberation.
INTERSPEECH
Shaoxiang Dang, Li Li, Shogo Seki, Hiroaki Kudo
2025 J jnl
Foreword.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Hiroaki Kudo
2024 Misc conf
A Separation Priority Pipeline for Single-Channel Speech Separation in Noisy Environments.
ICASSP
Shaoxiang Dang, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo
2024 A conf
Developing vocal system impaired patient-aimed voice quality assessment approach using ASR representation-included multiple features.
INTERSPEECH
Shaoxiang Dang, Tetsuya Matsumoto, Yoshinori Takeuchi, Takashi Tsuboi, Yasuhiro Tanaka, Daisuke Nakatsubo, Satoshi Maesawa, Ryuta Saito, Masahisa Katsuno, Hiroaki Kudo
2024 J jnl
Developing vocal system impaired patient-aimed voice quality assessment approach using ASR representation-included multiple features.
CoRR
Shaoxiang Dang, Tetsuya Matsumoto, Yoshinori Takeuchi, Takashi Tsuboi, Yasuhiro Tanaka, Daisuke Nakatsubo, Satoshi Maesawa, Ryuta Saito, Masahisa Katsuno, Hiroaki Kudo
2024 — conf
U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separation.
APSIPA
Shaoxiang Dang, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo
2024 J jnl
U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separation.
CoRR
Shaoxiang Dang, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo
2023 A conf
Using Semi-supervised Learning for Monaural Time-domain Speech Separation with a Self-supervised Learning-based SI-SNR Estimator.
INTERSPEECH
Shaoxiang Dang, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo
2021 — conf
A Restriction Training Recipe for Speech Separation on Sparsely Mixed Speech.
ICONIP (6)
Shaoxiang Dang, Tetsuya Matsumoto, Hiroaki Kudo, Yoshinori Takeuchi
2021 J jnl
Occlusion Avoidance Behavior During Gazing at a Rim Drawn by Blue-Yellow Opposite Colors.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Miho Shinohara, Yukina Tamura, Shinya Mochiduki, Hiroaki Kudo, Mitsuho Yamada
2021 J jnl
Occurrence Prediction of Dislocation Regions in Photoluminescence Image of Multicrystalline Silicon Wafers Using Transfer Learning of Convolutional Neural Network.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Hiroaki Kudo, Tetsuya Matsumoto, Kentaro Kutsukake, Noritaka Usami
2019 J jnl
Eye Movement Measurement of Gazing at the Rim of a Column in Stereo Images with Yellow-Blue Equiluminance Random Dots.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Shinya Mochiduki, Ayaka Nunomura, Hiroaki Kudo, Mitsuho Yamada
2019 J jnl
Prediction of regions including dislocations in multicrystalline silicon photoluminescence image by transfer learning of convolutional neural network.
Aust. J. Intell. Inf. Process. Syst.
Hiroaki Kudo, Yusuke Hayama, Tetsuya Matsumoto, Kentaro Kutsukake, Noritaka Usami
2018 — conf
Communication Support System of Smart Glasses for the Hearing Impaired.
ICCHP (1)
Daiki Watanabe, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi
2018 J jnl
Study on Incongruence between Binocular Images when Gazing at the Rim of a Column with Equiluminance Random Dots.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Shinya Mochiduki, Reina Watanabe, Miyuki Suganuma, Hiroaki Kudo, Noboru Ohnishi, Mitsuho Yamada
2016 — conf
Support System for Lecture Captioning Using Keyword Detection by Automatic Speech Recognition.
ICCHP (2)
Naofumi Ikeda, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi
2016 — conf
System Supporting Independent Walking of the Visually Impaired.
ICCHP (2)
Mitsuki Nishikiri, Takehiro Sakai, Hiroaki Kudo, Tetsuya Matsumoto, Yoshinori Takeuchi, Noboru Ohnishi
2014 — conf
A Smart-Phone Based System to Detect Warning Sound for Hearing Impaired People.
ICCHP (2)
Koichiro Takeuchi, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi
2014 — conf
Interactive Color Correction of Display by Dichromatic User.
ICONIP (3)
Hiroki Takagi, Hiroaki Kudo, Tetsuya Matsumoto, Yoshinori Takeuchi, Noboru Ohnishi
2014 B conf
Measurement of confusion color pairs for dichromats in order to use applications supporting color vision deficiency.
IJCNN
Hiroki Takagi, Hiroaki Kudo, Tetsuya Matsumoto, Noboru Ohnishi, Yoshinori Takeuchi
2013 A conf
A system helping blind people to get character information in their surrounding environment.
ASSETS
Noboru Ohnishi, Tetsuya Matsumoto, Hiroaki Kudo, Yoshinori Takeuchi
2013 J jnl
Informative patches sampling for image classification by utilizing bottom-up and top-down information.
Mach. Vis. Appl.
Shuang Bai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi
2012 — conf
A System Helping the Blind to Get Merchandise Information.
ICCHP (2)
Nobuhito Tanaka, Yasunori Doi, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi
2012 — conf
Effect of Luminance Gradients in Measurement of Differential Limen.
ICONIP (5)
Hiroaki Kudo, Takuya Kume, Noboru Ohnishi
2012 J jnl
Incorporating Contextual Information into Bag-of-Visual-Words Framework for Effective Object Categorization.
IEICE Trans. Inf. Syst.
Shuang Bai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi
2012 J jnl
Incorporating Top-Down Guidance for Extracting Informative Patches for Image Classification.
IEICE Trans. Inf. Syst.
Shuang Bai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi
2012 Misc conf
Scene classification based on category-specific representations created through prototype feature selection.
IVCNZ
Shuang Bai, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi, Yoshinori Takeuchi
2011 J jnl
Redundancies in linear GP, canonical transformation, and its exploitation: a demonstration on image feature synthesis.
Genet. Program. Evolvable Mach.
Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi
2010 J jnl
Evaluations of Feature Extraction Programs Synthesized by Redundancy-removed Linear Genetic Programming: A Case Study on the Lawn Weed Detection Problem.
Inf. Media Technol.
Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi
2010 J jnl
Evaluations of Feature Extraction Programs Synthesized by Redundancy-removed Linear Genetic Programming: A Case Study on the Lawn Weed Detection Problem.
J. Inf. Process.
Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi
2010 J jnl
Multi-Objective Genetic Programming with Redundancy-Regulations for Automatic Construction of Image Feature Extractors.
IEICE Trans. Inf. Syst.
Ukrit Watchareeruetai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi
2009 J jnl
Acceleration of Genetic Programming by Hierarchical Structure Learning: A Case Study on Image Recognition Program Synthesis.
IEICE Trans. Inf. Syst.
Ukrit Watchareeruetai, Tetsuya Matsumoto, Noboru Ohnishi, Hiroaki Kudo, Yoshinori Takeuchi
2009 B conf
Construction of Image Feature Extractors Based on Multi-objective Genetic Programming with Redundancy Regulations.
SMC
Ukrit Watchareeruetai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi
2009 — ch.
Efficient Construction of Image Feature Extraction Programs by Using Linear Genetic Programming with Fitness Retrieval and Intermediate-Result Caching.
Foundations of Computational Intelligence (4)
Ukrit Watchareeruetai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi
2008 B conf
Transformation of redundant representations of linear genetic programming into canonical forms for efficient extraction of image features.
IEEE Congress on Evolutionary Computation
Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi
2007 Misc conf
A Lawn Weed Detection in Winter Season Based on Color Information.
MVA
Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi
2007 J jnl
Gauss-Newton Particle Filter.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Hui Cao, Noboru Ohnishi, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo
2007 — conf
Modified Lawn Weed Detection: Utilization of Edge-Color Based SVM and Grass-Model Based Blob Inspection Filterbank.
ICONIP (2)
Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi
2007 J jnl
Retrieval-Combination Approach to Estimate 3D Human Pose from Monocular Image.
Inf. Media Technol.
Hui Cao, Noboru Ohnishi, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo
2007 Misc conf
Wavelet-Based Multiresolution Features for Detecting Duplications in Images.
MVA
Md. Khayrul Bashar, Keiji Noda, Noboru Ohnishi, Hiroaki Kudo, Tetsuya Matsumoto, Yoshinori Takeuchi
2006 J jnl
Computer vision based methods for detecting weeds in lawns.
Mach. Vis. Appl.
Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi
2005 J jnl
Image retrieval by pattern categorization using wavelet domain perceptual features with LVQ neural network.
Pattern Recognit. Lett.
Md. Khayrul Bashar, Noboru Ohnishi, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Kiyoshi Agusa
2004 — conf
Closely Arranged Directional Microphone for Source Separation: Effectiveness in Reduction of the Number of Taps and Preventing Factors.
ICA
Yusuke Katayama, Masanori Ito, Allan Kardec Barros, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi, Toshiharu Mukai
2004 — conf
Determining Correspondences Between Sensory and Motor Signals.
PCM (1)
Kento Nishibori, Jinji Chen, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi
2003 — conf
Unsupervised Texture Segmentation via Wavelet-based Locally Orderless Images (WLOIs) and SOM.
Computer Graphics and Imaging
Md. Khayrul Bashar, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi
2000 B conf
Finding correspondence between visual and auditory events based on perceptual grouping laws across different modalities.
SMC
Jinji Chen, Toshiharu Mukai, Yoshinori Takeuchi, Hiroaki Kudo, Tsuyoshi Yamamura, Noboru Ohnishi
1999 — conf
A Neural Network Model of Dynamically Fluctuating Perception of Necker Cube as well as Dot Patterns.
AAAI/IAAI
Hiroaki Kudo, Tsuyoshi Yamamura, Noboru Ohnishi, Shin Kobayashi, Noboru Sugie
1998 B conf
A Neural Network Model of Dynamical Grouping Process.
ICONIP
Tsuyoshi Yamamura, Shin Kobayashi, Isao Horiba, Noboru Sugie, Hiroaki Kudo, Noboru Ohnishi
1998 B conf
Correspondence Procedure for Recovery of Rigid Structure from Orthographically Projected Optical Flow - A computational Aspect of Kinetic Depth Effect.
ICONIP
Hiroaki Kudo, Masayuki Umeda, Isao Horiba, Noboru Sugie, Tsuyoshi Yamamura, Noboru Ohnishi
1997 J jnl
Saccade Mechanism Based on Processes for Depth Estimation and Incongruity Detection between Binocular Retinal Images - Analysis of Gazing Positions and Inter-saccade Intervals -.
J. Robotics Mechatronics
Hiroaki Kudo, Kenya Uomori, Mitsuho Yamada, Noboru Ohnishi, Noboru Sugie