Past news

Our paper “Efficient algorithm for K-multiple-means” has been accepted to ACM SIGMOD International Conference on Management of Data (SIGMOD2024). This is a joint work with NTT Computer and Data Science Laboratories and NTT Human Informatics Laboratories.
https://dl.acm.org/doi/10.1145/3639273

The following 13 papers have been accepted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2024).
・Naohiro Tawara, Marc Delcroix, Atsushi Ando, Atsunori Ogawa, “NTT speaker diarization system for CHiME-7: multi-domain, multi-microphone End-to-end and vector clustering diarization”
・Dominik Klement, Mireia Diez, Federico Landini, Lukas Burget, Anna Silnova, Marc Delcroix, Naohiro Tawara, “Discriminative Training of VBx Diarization”
・Junyi Peng, Marc Delcroix, Tsubasa Ochiai, Oldrich Plchot, Shoko Araki, Jan Cernocky, “Target Speech Extraction with Pre-Trained Self-Supervised Learning Models”
・William Chen, Takatomo Kano, Atsunori Ogawa, Marc Delcroix, Shinji Watanabe, “Train Long and Test Long: Leveraging Full Document Contexts in Speech Processing”
・Hanako Segawa, Tsubasa Ochiai, Marc Delcroix, Tomohiro Nakatani, Rintaro Ikeshita, Shoko Araki, Takeshi Yamada, Shoji Makino, “Neural Network-Based Virtual Microphone Estimation with Virtual Microphone and Beamformer-Level Multi-Task Loss”
・Kazuma Iwamoto, Tsubasa Ochiai, Marc Delcroix, Rintaro Ikeshita, Hiroshi Sato, Shoko Araki, Shigeru Katagiri, “How Does End-To-End Speech Recognition Training Impact Speech Enhancement Artifacts?”
・Keigo Wakayama, Tsubasa Ochiai, Marc Delcroix, Masahiro Yasuda, Shoichiro Saito, Shoko Araki, Akira Nakayama, “Online Target Sound Extraction with Knowledge Distillation from Partially Non-Causal Teacher”
・Takanori Ashihara, Marc Delcroix, Takafumi Moriya, Kohei Matsuura, Taichi Asami, Yusuke Ijima, “What Do Self-Supervised Speech and Speaker Models Learn? New Findings From a Cross Model Layer-Wise Analysis”
・Kenichi Fujita, Hiroshi Sato, Takanori Ashihara, Hiroki Kanagawa, Marc Delcroix, Takafumi Moriya, Yusuke Ijima, “Noise-Robust Zero-Shot Text-to-Speech Synthesis Conditioned on Self-Supervised Speech-Representation Model with Adapters”
・Shiqi Zhang, Daiki Takeuchi, Noboru Harada, Shoji Makino, “Unrestricted Global-Phase-Bias Aware Single-channel Speech Enhancement with Conformer-based Metric GAN”
・Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko, “Selecting N-Lowest Scores for Training MOS Prediction Models“
・Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, “Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator”
・Masahiro Nakano, Ryohei Shibue, Kunio Kashino, “Sunflower Strategy for Bayesian Relational Data Analysis”

Our paper “blind and spatially-regularized online joint optimization of source seperation, dereverberation, and noise reduction” has been accepted to IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP).
https://ieeexplore.ieee.org/document/10384838

Our paper “Variational autoencoder-based neural electrocardiogram synthesis trained by FEM-based heart simulator” has been accepted to Cardiovascular Digital Health Journal.
https://www.cvdigitalhealthjournal.com/article/S2666-6936(23)00110-X/fulltext

Our paper “Gene correction and overexpression of TNNI3 improve impaired relaxation in engineered heart tissue model of pediatric restrictive cardiomyopathy” has been accepted to Developemtn, Growth & Differentiation. This is a joint work with Osaka University.
https://onlinelibrary.wiley.com/doi/10.1111/dgd.12909

Our paper “Probabilistic state synthesis based on optimal convex approximation” has been accepted to Quantum Information.
https://www.nature.com/articles/s41534-023-00793-7

Our paper “Fidelity-estimation method for graph states with depolarizing noise” has been accepted to Physical Review Research. This is a joint work with Chuo University.
https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.5.043260

Our paper “Effective detection of variable celestial objects using machine learning-based periodic analysis” has been accepted to Astronomy and Computing.
N. Chihara, T. Takata, Y. Fujiwara, K. Noda, K. Toyoda, K. Higuchi, M. Onizuka, “Effective detection of variable selestial objects using machine learning-based periodic analysis,” Astronomy and Computing. 2023.
https://www.sciencedirect.com/science/article/pii/S221313372300080X

Our paper “Comprehensive noise analysis for acoustro-optic measurement of airborne sound” has been accepted to IEEE Transactions on Instrumentation and Measurement.
Kenji Ishikawa, Yoshifumi Shiraki, Takehiro Moriya, Atsushi Ishizawa, Kenichi Hitachi, Katsuya Oguri, “Comprehensive noise analysis for acoustro-optic measurement of airborne sound,” IEEE Transactions on Instrumentation and Measurement, 2023.
Comprehensive Noise Analysis for Acousto-Optic Measurement of Airborne Sound | IEEE Journals & Magazine | IEEE Xplore

Our paper “Physical-model-based reconstruction of three-dimensional sound field from multi-directional measurement by parallel phase-shift interferometry” has been accepted to Journal of Acoustical Society of America (JASA).
Haruka Nozawa, Mayuko Imanishi, Yasuhiro Oikawa, Keji Ishikawa, “Physical-model-based reconstruction of three-dimensional sound field from multi-directional measurement by parallel phase-shift interferometry,” Journal of Acoustical Society of America (JASA), 2023.
Physical-model-based reconstruction of three-dimensional sound field from multi-directional measurement by parallel phase-shift interferometry | The Journal of the Acoustical Society of America | AIP Publishing

Ryosuke Nakahama presented his work “Holographic and symmetry breaking operators of holomor-phic discrete series representations for (SU(3,3),SO*(6))” on Tunisian-Japanese Conference: Geometric and Harmonic Analysis on Homogeneous Spacesand Applications as an invited speaker.
Tunisian-Japanese Conference - 2023 (7th)

Seiseki Akibue presented his work “Optimal convex approximation of quantum superposition and its application in reshaping compilation errors” on Quantum Innovation 2023 as an invited speaker.
quantum innovation 2023

Yuki Takeuchi presented his work “Quantum Computation And Sensing On Network” on International Symposium on Wireless Personal Multimedia Communications (WPMC2023).
Tutorials wpmc2023 – WPMC-Home

Our paper “Phase randomization: A data augmentation for domain adaptation in human action recognition” has been accepted to Pattern Recognition.
Yu Mitsuzumi, Go Irie, Akisato Kimura, Atsushi Nakazawa, “Phase randomization: A data augmentation for domain adaptation in human action recognition,” Pattern Recognition, 2023.
https://doi.org/10.1016/j.patcog.2023.110051

Our paper “General form of almost instantaneous fixed-to-variable-length codes and optimal code tree construction” has been accepted to IEEE Transaction on Information Theory.
Ryosuke Sugiura, Yutaka Kamamoto, Takehiro Moriya, “General form of almost instantaneous fixed-to-variable-length codes and optimal code tree construction,” IEEE Transactions on Information Theory ( Volume: 69, Issue: 12, December 2023.
DOI: 10.1109/TIT.2023.3314812

Our paper “Hodge cohomology with a ramification filtration, I” has been accepted to Mathematische Zeitschrift.
Shane Kelly, Hiroyasu Miyazaki, “Hodge cohomology with a ramification filtration, I,” Mathematische Zeitschrift, 12 June 2023.

Our paper “Cuspidal components of Siegel modular forms for large discrete series representations of Sp_4(R)” has been accepted to Manuscripta Mathematica.
Shuji Horinaga, Hiroaki Narita, “Cuspidal components of Siegel modular forms for large discrete series representations of Sp4(R),” Manuscripta Mathematica, 2023.
https://arxiv.org/abs/2301.11552v1

Our paper “Anonymous quantum sensing” has been accepted to International Conference on Quantum, Nano/Bio, and Micro Technologies (ICQNM).
Hiroto Kasai, Yuki Takeuchi, Hideaki Hakoshima, Yuichiro Matsuzaki, Yasuhiro Tokura, “Anonymous quantom sensing,” International Conference on Quantum, Nano/Bio and Micro Technologies (ICQNM), 2023.
Journal of the Physical Society of Japan 91, 074005 (2022)

Our paper “Non-parallel whisper-to-normal speaking style conversion using auxiliary classifier variational autoencoder” has been accepted to IEEE Access.
Shogo Seki, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, “Non-parallel whisper-to-normal speaking style conversion using auxiliary classifier variational autoencoder,” IEEE Access, Vol.11, pp. 44590 - 44599, 2023.
https://ieeexplore.ieee.org/document/10109017

Our paper “A century of acousto-optics: From early discoveries to modern sensing of sound with light” has been accepted to Acoustics Today.
Acoustics Today, Vol. 19, Iss. 3, pgs. 54-62

Our paper “Heat kernel for the quantum Rabi model: II. Propagators and spectral determinants” has been accepted to Journal of Physics A: Mathematicsl and Theoretical.
Cid Reyes-Bustos. “Heat kernel for the quantum Rabi model: II. Propagators and spectral determinants,56 (2023) 425302.

Our paper “Towards defensive letter design” has been accepted to IAPR Asian Conference on Pattern Recognition (ACPR2023).
Rentato Katakoka, Akisato Kimura, Seiichi Uchida, “Towards defensive letter design,” IAPR Asian Conference on Pattern Recognition (ACPR), 2023.
https://link.springer.com/chapter/10.1007/978-3-031-47634-1_9

Our paper “Towards defensive letter design” has been accepted to IAPR Asian Conference on Pattern Recognition (ACPR2023).
Hayato Mitani, Akisato Kimura, Seiichi Uchida, “Selective scene text removal,” British Machine Vision Conference (BMVC), 2023.
https://proceedings.bmvc2023.org/521/

Our paper “Efficient network representation learning via cluster similarity” has been accepted to Data Science and Engineering.
Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Akisato Kimura, Naonori Ueda, "Efficient network representation learning via cluster similarity," Data Science and Engineering, 2023.
https://link.springer.com/article/10.1007/s41019-023-00222-x

The following 6 papers have been accepted to APSIPA Annual Summit and Conference (APSIPA-ASC).
・Yuki Kitagishi, Hosana Kamiyama, Naohiro Tawara, Atsunori Ogawa, Noboru Miyazaki, and Taichi Asami,”Coarse-age loss: A new training method using coarse-age labeled data for speaker age estimation.”
・Koharu Horii, Kengo Ohta, Ryota Nishimura, Atsunori Ogawa, and Norihide Kitaoka,”Language modeling for spontaneous speech recognition based on disfluency labeling and generation of disfluent text.”
・Keigo Hojo, Daiki Mori, Yukoh Wakabayashi, Kengo Ohta, Atsunori Ogawa, and Norihide Kitaoka,”Combining multiple end-to-end speech recognition models based on density ratio approach.”
・Tatsunari Takagi, Atsunori Ogawa, Norihide Kitaoka, and Yukoh Wakabayashi,”Streaming end-to-end speech recognition using a CTC decoder with substituted linguistic information.”
・Chihiro Watanabe, Hirokazu Kameokay, “DisC-VC: Disentangled and F0-Controllable Neural Voice Conversion.”
・Keisuke Takazawa, Hirokazu Kameokay, Masahiro Yukawa, “Multiple sound source tracking based on generative modeling and recursive Bayesian filtering of spatial gradient spectra.”

The following 4 papers have been accepted to Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE2023).
・Boxin Liu, Shiqi Zhang, Daiki Takeuchi, Daisuke Niizumi, Noboru Harada, Shoji Makino, ”Masked modeling duo vision transformer with multi-layer feature fusion on respiratory sound classification”
・Daiki Takeuchi, Yasunori Ohishi, Daisuke Niizumi, Noboru Harada, Kunio Kashino, ” Similarity-discrepancy disentanglement for audio difference captioning”
・Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi, ” Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring”
・Noboru Harada, Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Masahiro Yasuda, ” ToyADMOS2+: New Toyadmos Data and Benchmark Results of the First-Shot Anomalous Sound Event Detection Baseline”

Our paper “Covering Families of the Asymmetric Quantum Rabi Model: η-Shifted Non-commutative Harmonic Oscillators” has been accepted to Communication in Mathematical Physics.
Cid Reyes-Bustos, Masato Wakayama, “Covering Families of the Asymmetric Quantum Rabi Model: η-Shifted Non-commutative Harmonic Oscillators,” Communications in Mathematical Physics volume 403, pages1429–1476 (2023)
https://link.springer.com/article/10.1007/s00220-023-04825-3

Our paper “MIMO-NeRF: Fast rendering with multi-input multi-output neural radiance fields” has been accepted to IEEE/CVF International Conference on Computer Vision (ICCV2023).
Takuhiro Kaneko, “MIMO-NeRF: Fast Neural Rendering with Multi-Input Multi-Output Neural Radiance Fields,” IEEE/CVF International Conference on Computer Vision (ICCV2023), 2023.
https://openaccess.thecvf.com/content/ICCV2023/html/Kaneko_MIMO-NeRF_Fast_Neural_Rendering_with_Multi-input_Multi-output_Neural_Radiance_Fields_ICCV_2023_paper.html

Our paper “Frame-level event representation learning for semantic-level generation and editing of avatar motion” has been accepted to ACM International Conference on Multimodal Interaction (ICMI2023).
Ayaka Ideno, Takuhiro Kaneko, Tatsuya Harada, “Frame-Level Event Representation Learning for Semantic-Level Generation and Editing of Avatar Motion” ACM International Conference on Multimodal Interaction (ICMI), 2023.
https://dl.acm.org/doi/abs/10.1145/3577190.3614175

Our paper “Divide-and-conquer verification method for noisy intermediate-scale quantum computation” has been accepted to Asian Quantum Information Science Conference (AQIS2023).
Yuki Takeuchi, Yasuhiro Takahashi, Tomoyuki Morimae, and Seiichiro Tani , “Divide-and-conquer verification method for noisy intermediate-scale quantum computation,” Asian Quantim Information Science Conference (AQIS), 2023.
https://doi.org/10.22331/q-2022-07-07-758

Our paper “First-shot anomaly sound detection for machine condition monitoring: A domain generalization baseline” has been accepted to European Signal Processing Conference (EUSIPCO2023).
Noboru Harada, Daisuke Niizumi, Yasunori Ohishi, Daiki Takeuchi, Masahiro Yasuda, “First-Shot Anomaly Sound Detection for Machine Condition Monitoring: A Domain Generalization Baseline,” European Signal Processing Conference (EUSIPCO), 2023.
DOI：10.23919/EUSIPCO58844.2023.10289721
https://ieeexplore.ieee.org/document/10289721

Our paper “W2N-AVSC: Audiovisual Extension For Whisper-To-Normal Speech Conversion” has been accepted to European Signal Processing Conference (EUSIPCO2023).
Shogo Seki, Kanami; Imamura, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Noboru Harada, “W2N-AVSC: Audiovisual Extension For Whisper-To-Normal Speech Conversion,” European Signal Processing Conference (EUSIPCO), 2023
DOI：10.23919/EUSIPCO58844.2023.10289823
https://ieeexplore.ieee.org/document/10289823

Our paper “PRVAE-VC: Non-parallel many-to-many voice conversion with perturbation-resistant variational autoencoder” has been accepted to ISCA Speech Synthesis Workshop (SSW2023).
Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, “PRVAE-VC: Non-parallel many-to-many voice conversion with perturbation-resistant variational autoencoder,” ISCA Speech Synthesis Workshop (SSW), 2023.
https://www.isca-archive.org/ssw_2023/tanaka23_ssw.html
DOI:10.21437/SSW.2023-14

The following 12 papers have been accepted to Interspeech 2023.
・Marc Delcroix, Naohiro Tawara, Mireia Diez, Federico Landini, Anna Silnova, Atsunori Ogawa, Tomohiro Nakatani, Lukas Burget, Shoko Araki, ” Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization”
・Naoyuki Kamo, Marc Delcroix, Tomohiro Nakatani, ” Target Speaker Extraction with Conditional Diffusion Model”
・Shoko Araki, Ayako Yamamoto, Tsubasa Ochiai, Kenichi Arai, Atsunori Ogawa, Tomohiro Nakatani, Toshio Irino,” Impact of Residual Noise and Artifacts in Speech Enhancement Errors on Intelligibility of Human and Machine”
・Hiroshi Sato, Ryo Masumura, Tsubasa Ochiai, Marc Delcroix, Takafumi Moriya, Takanori Ashihara, Kentaro Shinayama, Saki Mizuno, Mana Ihori, Tomohiro Tanaka, Nobukatsu Hojo,” Downstream Task Agnostic Speech Enhancement Conditioned on Self-Supervised Representation Loss”
・Takafumi Moriya, Hiroshi Sato, Tsubasa Ochiai, Marc Delcroix, Takanori Ashihara, Kohei Matsuura, Tomohiro Tanaka, Ryo Masumura, Atsunori Ogawa, Taichi Asami,” Knowledge Distillation for Neural Transducer-based Target-Speaker ASR: Exploiting Parallel Mixture/Single-Talker Speech Data”
・Takanori Ashihara, Takafumi Moriya, Kohei Matsuura, Tomohiro Tanaka, Yusuke Ijima, Taichi Asami, Marc Delcroix, Yukinori Honma, ” SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?”
・Kohei Matsuura, Takanori Ashihara, Takafumi Moriya, Tomohiro Tanaka, Takatomo Kano, Atsunori Ogawa, Marc Delcroix, ” Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization”
・Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki,” iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN”
・Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino,” Masked Modeling Duo for Speech: Specializing General-Purpose Audio Representation to Speech using Denoising Distillation”
・Kou Tanaka, Takuhiro Kaneko, Hirokazu Kameoka, Shogo Seki,” CFVC: Conditional Filtering for Controllable Voice Conversion”
・Hikaru Yanagida, Yusuke Ijima, Naohiro Tawara, "Influence of Personal Traits on Impressions of One's Own Voice"
・Yuki Kitagishi, Naohiro Tawara, Atsunori Ogawa, Ryo Masumura, Taichi Asami, "What are differences? Comparing DNN and human by their performance and characteristics in speaker age estimation"

Our paper “Finite-key security analysis of differential-phase-shift quantum key distribution” has been accepted to Physical Review Research.
Akihiro Mizutani, Yuki Takeuchi, Kiyoshi Tamaki, ”Finite-key security analysis of differential-phase-shift quantum key distribution”, Physical Review Research, 5, 023132 – Published 30 May 2023
Phys. Rev. Research 5, 023132 (2023) - Finite-key security analysis of differential-phase-shift quantum key distribution (aps.org)

Our paper “Uncovering the largest community in social networks at scale” has been accepted to International Joint Conference on Artificial Intelligence (IJCAI2023).
Shohei Matsugu, Yasuhiro Fujiwara, Hiroaki Shiokawa, “Uncovering the Largest Community in Social Networks at Scale,” International Joint Conference on Artificial Intelligence (IJCAI2023), 2023.
https://www.ijcai.org/proceedings/2023/0250

Our paper “Rewindable Quantum Computation and Its Equivalence to Cloning and Adaptive Postselection” has been accepted to Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2023).
Ryo Hiromasa, Akihiro Mizutani, Yuki Takeuchi, Seiichiro Tani, “Rewindable Quantum Computation and Its Equivalence to Cloning and Adaptive Postselection”
https://doi.org/10.48550/arXiv.2206.05434

Our paper “Listening human behavior: 3D human pose estimation with acoustic signals” has been accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2023).
Yuto Shibata, Yutaka Kawashima, Mariko Isogawa, Go Irie, Akisato Kimura, Yoshimitsu Aoki, “Listening human behavior: 3D human pose estimation with acoustic signals,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
https://openaccess.thecvf.com/content/CVPR2023/html/Shibata_Listening_Human_Behavior_3D_Human_Pose_Estimation_With_Acoustic_Signals_CVPR_2023_paper.html

Our paper “Unsupervised intrinsic image decomposition with LiDAR intensity” has been accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2023).
Shogo Sato, Yasuhiro Yao, Taiga Yoshida, Takuhiro Kaneko, Shingo Ando, Jun Shimamura, “Unsupervised intrinsic image decomposition with LiDAR intensity,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
https://openaccess.thecvf.com/content/CVPR2023/html/Sato_Unsupervised_Intrinsic_Image_Decomposition_With_LiDAR_Intensity_CVPR_2023_paper.html

The following 9 papers have been accepted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2023).
・Xiaomeng Wu, Yongqing Sun, Akisato Kimura, “Deep quantigraphic image enhancement via comparametric equations.”
・Atsunori Ogawa, Takafumi Moriya, Naoyuki Kamo, Naohiro Tawara, Marc　Delcroix,　“Iterative shallow fusion of backward language model for end-to-end speech recognition”
・Takatomo Kano, Atsunori Ogawa, Marc Delcroix, Roshan Sharma, Kohei Matsuura, Shinji Watanabe, “Speech summarization of long spoken document: Improving memory efficiency of speech/text encoders”
・Kohei Matsuura, Takanori Ashihara, Takafumi Moriya, Tomohiro Tanaka, Atsunori Ogawa, Marc Delcroix, Ryo Masumura, “LEVERAGING LARGE TEXT CORPORA FOR END-TO-END SPEECH SUMMARIZATION”
・Thilo von Neumann, Christoph Boeddeker, Keisuke Kinoshita, Marc Delcroix, Reinhold Haeb-Umbach, “On Word Error Rate Definitions and their Efficient Computation for Multi-Speaker Speech Recognition Systems”
・Taishi Nakashima, Rintaro Ikeshita, Nobutaka Ono, Shoko Araki, Tomohiro Nakatani, ” Fast Online Source Steering Algorithm for Tracking Single Moving Source Using Online Independent Vector Analysis”
・Shogo Seki, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko, ” JSV-VC: JOINTLY TRAINED SPEAKER VERIFICATION AND VOICE CONVERSION MODELS”
・Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino,” Masked modeling duo: Learning Representations by Encouraging Both Networks to Model the Input”
・Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki,” Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis”

Our paper “Deep attentive time warping” has been accepted to Pattern Recognition.
Shinnosuke Matsuo, Xiaomeng Wu, Guntag Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida, “Deep attentive time warping,” Pattern Recognition, 2023.
https://doi.org/10.1016/j.patcog.2022.109201

Our paper “Streaming end-to-end target speaker automatic speech recognition and activity detection” has been accepted to IEEE Access.
T. Moriya, H. Sato, T. Ochiai, M. Delcroix and T. Shinozaki, "Streaming End-to-End Target-Speaker Automatic Speech Recognition and Activity Detection," in IEEE Access, 2023. doi: 10.1109/ACCESS.2023.3243690.
https://ieeexplore.ieee.org/document/10041133

Our paper “Determination of microphone acoustica center from sound field projection measured by optical interferometry” has been accepted to The Journal of the Acoustical Society of America (JASA).
Denny Hermawanto, Kenji Ishikawa, Kohei Yatabe, Yasuhiro Oikawa, “Determination of microphone acoustic center from sound field projection measured by optical interferometry,” The Journal of the Acoustical Society of America, 2023.
https://doi.org/10.1121/10.0017246 J. Acoust. Soc. Am. 153, 1138–1146 (2023)

Our paper “I/Q demodulator based optical camera communication” has been accepted to IEEE Photonics Journal.
Hiroaki Matsunaga, Tomohiro Yendo, Wataru Kihara, Yoshifumi Shiraki, Takashi G. Sato, Takehiro Moriya, “I/Q Demodulator Based Optical Camera Communications,” IEEE Photonics Journal, 2023.
June 2022 IEEE Photonics Journal 14(3):1-1
DOI:10.1109/JPHOT.2022.3166283

Our paper “Decoding selective attention from EEG during simultaneous presentation of two melodies” has been accepted to Neuroscience2021.

Our paper “Efficient network representation learning via cluster similarity” has been accepted to International Conference on Databased Systems for Adcvanced Applications (DASFAA).
Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Akisato Kimura, Naonori Uede, “Efficient Network Representation Learning via Cluster Similarity,” in Proc. International Conference on Database Systems for Advanced Applications (DASFAA), 2023.

Our paper “Segment-less continuous speech separation of meetings: Training and evaluation criteria” has been accepted to IEEE/ACM Transactions on Audio, Speech and Language Processing.
T. von Neumann, K. Kinoshita, C. Boeddeker, M. Delcroix and R. Haeb-Umbach, "Segment-less Continuous Speech Separation of Meetings: Training and Evaluation Criteria," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023, doi: 10.1109/TASLP.2022.3228629.
https://ieeexplore.ieee.org/abstract/document/9982413

Our paper “Neural target speech extraction: An overview” has been accepted to IEEE Signal Processing Maganize.
Katerina Zmolikova, Marc Delcroix, Tsubasa Ochiai, Keisuke Kinoshita, Jan Cernocky, Dong Yu, "Neural target speech extraction: An overview," IEEE Signal Processing Magazine, 2023. DOI: 10.1109/MSP.2023.3240008.
https://ieeexplore.ieee.org/abstract/document/10113382

Our paper “Mask-based neural beamforming for moving speakers with self-attention-based tracking” has been accepted to IEEE/ACM Transactions on Audio, Speech and Language Processing.
Tsubasa Ochiai, Marc Delcroix, Tomohiro Nakatani, Shoko Araki, ”Mask-based Neural Beamforming for Moving Speakers with Self-Attention-based Tracking," IEEE/ACM Transactions onAudio Speech and Language Processing, 2023, DOI: 10.1109/TASLP.2023.3237172.
https://ieeexplore.ieee.org/document/10017367

Our paper “Distribution matching for dimming control in visible-light region-of-interest signaling“ has been accepted to IEEE Photonics Journal.
Phuc Duc Nguyen, Yoshifumi Shiraki, Kenji Ishikawa, Jun Muramatsu, Noboru Harada, Takehiro Moriya, “Distribution matching for dimming control in visible-light region-of-interest signaling,” IEEE Photonics Journal, 2023. DOI: 10.1109/JPHOT.2022.3233092

Naohiro Tawara has received the Best Reviewer Award in IEEE Spoken Language Technology Workshop (SLT 2022). https://www.slt2022.org/best-papers.php

[Award] Tsubasa Ochiai has received The 16th Itakura Prize Innovative Young Researcher Award from the Acoustical Society of Japan.
"Joint Optimization of Microphone Array Signal Processing and Speech Recognition"

https://acoustics.jp/awards/itakura/

[Award] Hirokazu Kameoka has received The 10th RIEC Award from Research Institute of Electrical Communication Tohoku University.
"Audio Signal Decomposition and Scene Analysis"

https://www.riec.tohoku.ac.jp/ja/info/riec-award/r2/

Rintaro Ikeshita has received the 49th Awaya Kiyoshi Science Promotion Award from the Acoustical Society of Japan.
Rintaro Ikeshita and Tomohiro Nakatani, "Multiplicative update algorithms for independent vector analysis," 2020 Autumn meeting of Acoustical Society of Japan, 1-1-13, 2020.

Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi and Kunio Kashino has received a "Best Research Paper Award Honorable Mention" at the 26th Symposium on Sensing via Image Information.
Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi and Kunio Kashino(2020). "Adaptive Spotting: 3D Point Cloud Object Search Based on Deep Reinforcement Learning," The 26th Symposium on Sensing via Image Information.