Intra-note segmentation via sticky HMM with DP emission. - Yuma Koizumi; Katunobu Itou (ICASSP, 2014)

Effective approach to character input for novice BCI users. - Yuma Koizumi; Yuki Ijichi; Hisaya Tanaka; Ayumi Otera; Kayoko Takahashi; Michinari Fukuda; Noriyoshi Asai (APSITT, 2015)

Informative acoustic feature selection on microphone array wiener filtering for collecting target source on sports ground. - Yuma Koizumi; Kenta Niwa; Yusuke Hioka; Kazunori Kobayashi; Hitoshi Ohmuro (WASPAA, 2015)

Integrated approach of feature extraction and sound source enhancement based on maximization of mutual information. - Yuma Koizumi; Kenta Niwa; Yusuke Hioka; Kazunori Kobayashi; Hitoshi Ohmuro (ICASSP, 2016)

Pinpoint extraction of distant sound source based on DNN mapping from multiple beamforming outputs to prior SNR. - Kenta Niwa; Yuma Koizumi; Tomoko Kawase; Kazunori Kobayashi; Yusuke Hioka (ICASSP, 2016)

Binaural sound generation corresponding to omnidirectional video view using angular region-wise source enhancement. - Kenta Niwa; Yuma Koizumi; Kazunori Kobayashi; Hisashi Uematsu (ICASSP, 2016)

Optimizing acoustic feature extractor for anomalous sound detection based on Neyman-Pearson lemma. - Yuma Koizumi; Shoichiro Saito; Hisashi Uematsu; Noboru Harada (EUSIPCO, 2017)

DNN-based source enhancement self-optimized by reinforcement learning using sound quality measurements. - Yuma Koizumi; Kenta Niwa; Yusuke Hioka; Kazunori Kobayashi; Yoichi Haneda (ICASSP, 2017)

Supervised source enhancement composed of nonnegative auto-encoders and complementarity subtraction. - Kenta Niwa; Yuma Koizumi; Tomoko Kawase; Kazunori Kobayashi; Yusuke Hioka (ICASSP, 2017)

On relationships between amplitude and phase of short-time Fourier transform. - Suehiro Shimauchi; Shinya Kudo; Yuma Koizumi; Ken'ichi Furuya (ICASSP, 2017)

Informative Acoustic Feature Selection to Maximize Mutual Information for Collecting Target Sources. - Yuma Koizumi; Kenta Niwa; Yusuke Hioka; Kazunori Kobayashi; Hitoshi Ohmuro (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Distant Noise Reduction Based on Multi-delay Noise Model Using Distributed Microphone Array. - Yuma Koizumi; Shoichiro Saito; Suehiro Shimauchi; Kazunori Kobayashi; Noboru Harada (EUSIPCO, 2018)

Complementary Set Variational Autoencoder for Supervised Anomaly Detection. - Yuta Kawachi; Yuma Koizumi; Noboru Harada (ICASSP, 2018)

End-to-End Sound Source Enhancement Using Deep Neural Network in the Modified Discrete Cosine Transform Domain. - Yuma Koizumi; Noboru Harada; Yoichi Haneda; Yusuke Hioka; Kazunori Kobayashi (ICASSP, 2018)

DNN-Based Near- and Far-Field Source Separation Using Spherical-Harmonic-Analysis-Based Acoustic Features. - Sota Nishiguchi; Yuma Koizumi; Noboru Harada; Katunobu Itou (IWAENC, 2018)

DNN-Based Source Enhancement to Increase Objective Sound Quality Assessment Score. - Yuma Koizumi; Kenta Niwa; Yusuke Hioka; Kazunori Kobayashi; Yoichi Haneda (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation. - Luca Mazzon; Yuma Koizumi; Masahiro Yasuda; Noboru Harada (DCASE, 2019)

Context-Aware Neural Voice Activity Detection Using Auxiliary Networks for Phoneme Recognition, Speech Enhancement and Acoustic Scene Classification. - Ryo Masumura; Kiyoaki Matsui; Yuma Koizumi; Takaaki Fukutomi; Takanobu Oba; Yushi Aono (EUSIPCO, 2019)

A Two-class Hyper-spherical Autoencoder for Supervised Anomaly Detection. - Yuta Kawachi; Yuma Koizumi; Shin Murata; Noboru Harada (ICASSP, 2019)

Trainable Adaptive Window Switching for Speech Enhancement. - Yuma Koizumi; Noboru Harada; Yoichi Haneda (ICASSP, 2019)

SNIPER: Few-shot Learning for Anomaly Detection to Minimize False-negative Rate with Ensured True-positive Rate. - Yuma Koizumi; Shin Murata; Noboru Harada; Shoichiro Saito; Hisashi Uematsu (ICASSP, 2019)

Deep Griffin-Lim Iteration. - Yoshiki Masuyama; Kohei Yatabe; Yuma Koizumi; Yasuhiro Oikawa; Noboru Harada (ICASSP, 2019)

Data-driven Design of Perfect Reconstruction Filterbank for DNN-based Sound Source Enhancement. - Daiki Takeuchi; Kohei Yatabe; Yuma Koizumi; Yasuhiro Oikawa; Noboru Harada (ICASSP, 2019)

AdaFlow: Domain-adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-domain Translation. - Masataka Yamaguchi; Yuma Koizumi; Noboru Harada (ICASSP, 2019)

Finding Low-Dimensional Dynamical Structure Through Variational Auto-Encoding Dynamic Mode Decomposition. - Shin Murata; Yuma Koizumi; Noboru Harada (MLSP, 2019)

ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection. - Yuma Koizumi; Shoichiro Saito; Hisashi Uematsu; Noboru Harada; Keisuke Imoto (WASPAA, 2019)

Batch Uniformization for Minimizing Maximum Anomaly Score of Dnn-Based Anomaly Detection in Sounds. - Yuma Koizumi; Shoichiro Saito; Masataka Yamaguchi; Shin Murata; Noboru Harada (WASPAA, 2019)

DOA Estimation by DNN-based Denoising and Dereverberation from Sound Intensity Vector. - Masahiro Yasuda; Yuma Koizumi; Luca Mazzon; Shoichiro Saito; Hisashi Uematsu (CoRR, 2019)

Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman-Pearson Lemma. - Yuma Koizumi; Shoichiro Saito; Hisashi Uematsu; Yuta Kawachi; Noboru Harada (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. - Yuma Koizumi; Yohei Kawaguchi; Keisuke Imoto; Toshiki Nakamura; Yuki Nikaido; Ryo Tanabe; Harsh Purohit; Kaori Suefusa; Takashi Endo; Masahiro Yasuda; Noboru Harada (DCASE, 2020)

Effects of Word-Frequency Based Pre- and Post- Processings for Audio Captioning. - Daiki Takeuchi; Yuma Koizumi; Yasunori Ohishi; Noboru Harada; Kunio Kashino (DCASE, 2020)

Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels. - Keisuke Imoto; Noriyuki Tonami; Yuma Koizumi; Masahiro Yasuda; Ryosuke Yamanishi; Yoichi Yamashita (ICASSP, 2020)

Stable Training of Dnn for Speech Enhancement Based on Perceptually-Motivated Black-Box Cost Function. - Masaki Kawanaka; Yuma Koizumi; Ryoichi Miyazaki; Kohei Yatabe (ICASSP, 2020)

Speech Enhancement Using Self-Adaptation and Multi-Head Self-Attention. - Yuma Koizumi; Kohei Yatabe; Marc Delcroix; Yoshiki Masuyama; Daiki Takeuchi (ICASSP, 2020)

SPIDERnet: Attention Network For One-Shot Anomaly Detection In Sounds. - Yuma Koizumi; Masahiro Yasuda; Shin Murata; Shoichiro Saito; Hisashi Uematsu; Noboru Harada (ICASSP, 2020)

Phase Reconstruction Based On Recurrent Phase Unwrapping With Deep Neural Networks. - Yoshiki Masuyama; Kohei Yatabe; Yuma Koizumi; Yasuhiro Oikawa; Noboru Harada (ICASSP, 2020)

Real-Time Speech Enhancement Using Equilibriated RNN. - Daiki Takeuchi; Kohei Yatabe; Yuma Koizumi; Yasuhiro Oikawa; Noboru Harada (ICASSP, 2020)

Invertible DNN-Based Nonlinear Time-Frequency Transform for Speech Enhancement. - Daiki Takeuchi; Kohei Yatabe; Yuma Koizumi; Yasuhiro Oikawa; Noboru Harada (ICASSP, 2020)

Sound Event Localization Based on Sound Intensity Vector Refined by Dnn-Based Denoising and Source Separation. - Masahiro Yasuda; Yuma Koizumi; Shoichiro Saito; Hisashi Uematsu; Keisuke Imoto (ICASSP, 2020)

A Transformer-Based Audio Captioning Model with Keyword Estimation. - Yuma Koizumi; Ryo Masumura; Kyosuke Nishida; Masahiro Yasuda; Shoichiro Saito (INTERSPEECH, 2020)

Listen to What You Want: Neural Network-Based Universal Sound Selector. - Tsubasa Ochiai; Marc Delcroix; Yuma Koizumi; Hiroaki Ito; Keisuke Kinoshita; Shoko Araki (INTERSPEECH, 2020)

Crossmodal Sound Retrieval Based on Specific Target Co-Occurrence Denoted with Weak Labels. - Masahiro Yasuda; Yasunori Ohishi; Yuma Koizumi; Noboru Harada (INTERSPEECH, 2020)

The NTT DCASE2020 Challenge Task 6 system: Automated Audio Captioning with Keywords and Sentence Length Estimation. - Yuma Koizumi; Daiki Takeuchi; Yasunori Ohishi; Noboru Harada; Kunio Kashino (CoRR, 2020)

Audio Captioning using Pre-Trained Large-Scale Language Model Guided by Audio-based Similar Caption Retrieval. - Yuma Koizumi; Yasunori Ohishi; Daisuke Niizumi; Daiki Takeuchi; Masahiro Yasuda (CoRR, 2020)

Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Detection for Machine Condition Monitoring Under Domain Shifted Conditions. - Yohei Kawaguchi; Keisuke Imoto; Yuma Koizumi; Noboru Harada; Daisuke Niizumi; Kota Dohi; Ryo Tanabe; Harsh Purohit; Takashi Endo (DCASE, 2021)

Noisy-target Training: A Training Strategy for DNN-based Speech Enhancement without Clean Speech. - Takuya Fujimura; Yuma Koizumi; Kohei Yatabe; Ryoichi Miyazaki (EUSIPCO, 2021)

Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method. - Koichi Saito; Tomohiko Nakamura; Kohei Yatabe; Yuma Koizumi; Hiroshi Saruwatari (EUSIPCO, 2021)

DF-Conformer: Integrated Architecture of Conv-Tasnet and Conformer Using Linear Complexity Self-Attention for Speech Enhancement. - Yuma Koizumi; Shigeki Karita; Scott Wisdom; Hakan Erdogan; John R. Hershey; Llion Jones; Michiel Bacchiani (WASPAA, 2021)

Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions. - Yohei Kawaguchi; Keisuke Imoto; Yuma Koizumi; Noboru Harada; Daisuke Niizumi; Kota Dohi; Ryo Tanabe; Harsh Purohit; Takashi Endo (CoRR, 2021)

Deep Griffin-Lim Iteration: Trainable Iterative Phase Reconstruction Using Neural Network. - Yoshiki Masuyama; Kohei Yatabe; Yuma Koizumi; Yasuhiro Oikawa; Noboru Harada (IEEE J. Sel. Top. Signal Process., 2021)

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. - Kota Dohi; Keisuke Imoto; Noboru Harada; Daisuke Niizumi; Yuma Koizumi; Tomoya Nishida; Harsh Purohit; Ryo Tanabe; Takashi Endo; Masaaki Yamamoto; Yohei Kawaguchi (DCASE, 2022)

SNRi Target Training for Joint Speech Enhancement and Recognition. - Yuma Koizumi; Shigeki Karita; Arun Narayanan; Sankaran Panchapagesan; Michiel Bacchiani (INTERSPEECH, 2022)

SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping. - Yuma Koizumi; Heiga Zen; Kohei Yatabe; Nanxin Chen; Michiel Bacchiani (INTERSPEECH, 2022)

Wavefit: an Iterative and Non-Autoregressive Neural Vocoder Based on Fixed-Point Iteration. - Yuma Koizumi; Kohei Yatabe; Heiga Zen; Michiel Bacchiani (SLT, 2022)

Learning Mask Scalars for Improved Robust Automatic Speech Recognition. - Arun Narayanan; James Walker; Sankaran Panchapagesan; Nathan Howard; Yuma Koizumi (SLT, 2022)

Mask scalar prediction for improving robust automatic speech recognition. - Arun Narayanan; James Walker; Sankaran Panchapagesan; Nathan Howard; Yuma Koizumi (CoRR, 2022)

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. - Kota Dohi; Keisuke Imoto; Noboru Harada; Daisuke Niizumi; Yuma Koizumi; Tomoya Nishida; Harsh Purohit; Takashi Endo; Masaaki Yamamoto; Yohei Kawaguchi (CoRR, 2022)

LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus. - Yuma Koizumi; Heiga Zen; Shigeki Karita; Yifan Ding; Kohei Yatabe; Nobuyuki Morioka; Michiel Bacchiani; Yu Zhang 033; Wei Han 002; Ankur Bapna (INTERSPEECH, 2023)

Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations. - Yuma Koizumi; Heiga Zen; Shigeki Karita; Yifan Ding; Kohei Yatabe; Nobuyuki Morioka; Yu Zhang 033; Wei Han 002; Ankur Bapna; Michiel Bacchiani (WASPAA, 2023)

Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. - Kota Dohi; Keisuke Imoto; Noboru Harada; Daisuke Niizumi; Yuma Koizumi; Tomoya Nishida; Harsh Purohit; Ryo Tanabe; Takashi Endo; Yohei Kawaguchi (CoRR, 2023)

FLEURS-R: A Restored Multilingual Speech Corpus for Generation Tasks. - Min Ma; Yuma Koizumi; Shigeki Karita; Heiga Zen; Jason Riesa; Haruko Ishikawa; Michiel Bacchiani (INTERSPEECH, 2024)

RadImageNet and ImageNet as Datasets for Transfer Learning in the Assessment of Dental Radiographs: A Comparative Study. - Shota Okazaki; Yuichi Mine; Yuki Yoshimi; Yuko Iwamoto; Shota Ito; Tzu-Yu Peng; Taku Nishimura; Tomoya Suehiro; Yuma Koizumi; Ryota Nomura; Kotaro Tanimoto; Naoya Kakimoto; et al. (J. Imaging Inform. Medicine, 2025)

Miipher-2: A Universal Speech Restoration Model for Million-Hour Scale Data Restoration. - Shigeki Karita; Yuma Koizumi; Heiga Zen; Haruko Ishikawa; Robin Scheibler; Michiel Bacchiani (CoRR, 2025)

ReverbMiipher: Generative Speech Restoration meets Reverberation Characteristics Controllability. - Wataru Nakata; Yuma Koizumi; Shigeki Karita; Robin Scheibler; Haruko Ishikawa; Adriana Guevara-Rukoz; Heiga Zen; Michiel Bacchiani (CoRR, 2025)