A 240-Mbps, 1-W CMOS EPRML read-channel LSI chip using an interleaved subranging pipeline A/D converter. - Tatsuji Matsuura; Takashi Nara; Tatsuya Komatsu; Eiki Imaizumi; Toshihiro Matsutsuru; Ryutaro Horita; Haruto Katsu; Shintaro Suzumura; Kazuo Sato (IEEE J. Solid State Circuits, 1998)

Modeling head-related transfer functions via spatial-temporal Gaussian process. - Tatsuya Komatsu; Takanori Nishino; Gareth W. Peters; Tomoko Matsui; Kazuya Takeda (ICASSP, 2013)

Computationally efficient single channel dereverberation based on complementary wiener filter. - Kazunobu Kondo; Yu Takahashi; Tatsuya Komatsu; Takanori Nishino; Kazuya Takeda (ICASSP, 2013)

Acoustic Event Detection Method Using Semi-Supervised Non-Negative Matrix Factorization with Mixtures of Local Dictionaries. - Tatsuya Komatsu; Takahiro Toizumi; Reishi Kondo; Yuzo Senda (DCASE, 2016)

Acoustic event detection based on non-negative matrix factorization with mixtures of local dictionaries and activation aggregation. - Tatsuya Komatsu; Yuzo Senda; Reishi Kondo (ICASSP, 2016)

An acoustic monitoring system and its field trials. - Tatsuya Komatsu; Masahiro Tani; Takahiro Toizumi; Chaitanya Narisetty; Masanori Kato; Yumi Arai; Osamu Hoshuyama; Yuzo Senda; Reishi Kondo (APSIPA, 2017)

Detection of anomaly acoustic scenes based on a temporal dissimilarity model. - Tatsuya Komatsu; Reishi Kondo (ICASSP, 2017)

Weakly Labeled Learning Using BLSTM-CTC for Sound Event Detection. - Taiki Matsuyoshi; Tatsuya Komatsu; Reishi Kondo; Takeshi Yamada; Shoji Makino (APSIPA, 2018)

Anomalous Sound Event Detection Based on WaveNet. - Tomoki Hayashi; Tatsuya Komatsu; Reishi Kondo; Tomoki Toda; Kazuya Takeda (EUSIPCO, 2018)

Modelling of Sound Events with Hidden Imbalances Based on Clustering and Separate Sub-Dictionary Learning. - Chaitanya Narisetty; Tatsuya Komatsu; Reishi Kondo (EUSIPCO, 2018)

A Stereo Wind-Noise Suppressor with Null Beamforming and Frequency-Domain Noise Averaging. - Masanori Kato; Akihiko Sugiyama; Tatsuya Komatsu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

Scene-dependent Anomalous Acoustic-event Detection Based on Conditional Wavenet and I-vector. - Tatsuya Komatsu; Tomoki Hayashi; Reishi Kondo; Tomoki Toda; Kazuya Takeda (ICASSP, 2019)

Bayesian Non-parametric Multi-source Modelling Based Determined Blind Source Separation. - Chaitanya Narisetty; Tatsuya Komatsu; Reishi Kondo (ICASSP, 2019)

Multichannel Loss Function for Supervised Speech Source Separation by Mask-Based Beamforming. - Yoshiki Masuyama; Masahito Togami; Tatsuya Komatsu (INTERSPEECH, 2019)

Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function. - Masahito Togami; Tatsuya Komatsu (INTERSPEECH, 2019)

Fast Convergence Algorithm for State-Space Model Based Speech Dereverberation by Multi-Channel Non-Negative Matrix Factorization. - Masahito Togami; Tatsuya Komatsu (WASPAA, 2019)

Overview of Tasks and Investigation of Subjective Evaluation Methods in Environmental Sound Synthesis and Conversion. - Yuki Okamoto; Keisuke Imoto; Tatsuya Komatsu; Shinnosuke Takamichi; Takumi Yagyu; Ryosuke Yamanishi; Yoichi Yamashita (CoRR, 2019)

Computer-Resource-Aware Deep Speech Separation with a Run-Time-Specified Number of BLSTM Layers. - Masahito Togami; Yoshiki Masuyama; Tatsuya Komatsu; Kazuyoshi Yoshii; Tatsuya Kawahara (APSIPA, 2020)

Conformer-Based Sound Event Detection with Semi-Supervised Learning and Data Augmentation. - Koichi Miyazaki; Tatsuya Komatsu; Tomoki Hayashi; Shinji Watanabe 001; Tomoki Toda; Kazuya Takeda (DCASE, 2020)

Sound Event Localization and Detection Using Convolutional Recurrent Neural Networks and Gated Linear Units. - Tatsuya Komatsu; Masahito Togami; Tsubasa Takahashi 001 (EUSIPCO, 2020)

Robust Acoustic Scene Classification to Multiple Devices Using Maximum Classifier Discrepancy and Knowledge Distillation. - Saori Takeyama; Tatsuya Komatsu; Koichi Miyazaki; Masahito Togami; Shunsuke Ono (EUSIPCO, 2020)

Scene-Dependent Acoustic Event Detection with Scene Conditioning and Fake-Scene-Conditioned Loss. - Tatsuya Komatsu; Keisuke Imoto; Masahito Togami (ICASSP, 2020)

Consistency-Aware Multi-Channel Speech Enhancement Using Deep Neural Networks. - Yoshiki Masuyama; Masahito Togami; Tatsuya Komatsu (ICASSP, 2020)

Weakly-Supervised Sound Event Detection with Self-Attention. - Koichi Miyazaki; Tatsuya Komatsu; Tomoki Hayashi; Shinji Watanabe 001; Tomoki Toda; Kazuya Takeda (ICASSP, 2020)

Unsupervised Training for Deep Speech Source Separation with Kullback-Leibler Divergence Based Probabilistic Loss Function. - Masahito Togami; Yoshiki Masuyama; Tatsuya Komatsu; Yu Nakagome (ICASSP, 2020)

Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation. - Tsubasa Takahashi 001; Shun Takagi; Hajime Ono; Tatsuya Komatsu (CoRR, 2020)

Comparison of Low Complexity Self-Attention Mechanisms for Acoustic Event Detection. - Tatsuya Komatsu; Robin Scheibler (APSIPA ASC, 2021)

A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation. - Yosuke Higuchi; Nanxin Chen; Yuya Fujita; Hirofumi Inaguma; Tatsuya Komatsu; Jaesong Lee; Jumon Nozaki; Tianzi Wang; Shinji Watanabe 001 (ASRU, 2021)

Multi-Source Domain Adaptation with Sinkhorn Barycenter. - Tatsuya Komatsu; Tomoko Matsui; Junbin Gao (EUSIPCO, 2021)

Multichannel Separation and Classification of Sound Events. - Robin Scheibler; Tatsuya Komatsu; Masahito Togami (EUSIPCO, 2021)

Disentangled Speaker and Language Representations Using Mutual Information Minimization and Domain Adaptation for Cross-Lingual TTS. - Detai Xin; Tatsuya Komatsu; Shinnosuke Takamichi; Hiroshi Saruwatari (ICASSP, 2021)

Acoustic Event Detection with Classifier Chains. - Tatsuya Komatsu; Shinji Watanabe 001; Koichi Miyazaki; Tomoki Hayashi (Interspeech, 2021)

Relaxing the Conditional Independence Assumption of CTC-Based ASR by Conditioning on Intermediate Predictions. - Jumon Nozaki; Tatsuya Komatsu (Interspeech, 2021)

Label-Synchronous Speech-to-Text Alignment for ASR Using Forward and Backward Transformers. - Yusuke Kida; Tatsuya Komatsu; Masahito Togami (CoRR, 2021)

Sound Event Localization and Detection with Pre-Trained Audio Spectrogram Transformer and Multichannel Seperation Network. - Robin Scheibler; Tatsuya Komatsu; Yusuke Fujita; Michael Hentschel (DCASE, 2022)

Non-Autoregressive ASR with Self-Conditioned Folded Encoders. - Tatsuya Komatsu (ICASSP, 2022)

Self-Supervised Learning Method Using Multiple Sampling Strategies for General-Purpose Audio Representation. - Ibuki Kuroyanagi; Tatsuya Komatsu (ICASSP, 2022)

Development of Estimation Systems of Calving Time Based on Time-Frequency Analysis for Ventral Tail Base Surface Temperature. - Tatsuya Komatsu; Kansei Matsumoto; Ryotaro Miura; Hidetoshi Oya; Yoshikatsu Hoshi (ICCAIS, 2022)

Better Intermediates Improve CTC Inference. - Tatsuya Komatsu; Yusuke Fujita; Jaesong Lee; Lukas Lee; Shinji Watanabe 001; Yusuke Kida (INTERSPEECH, 2022)

InterAug: Augmenting Noisy Intermediate Predictions for CTC-based ASR. - Yu Nakagome; Tatsuya Komatsu; Yusuke Fujita; Shuta Ichimura; Yusuke Kida (INTERSPEECH, 2022)

Alternate Intermediate Conditioning with Syllable-Level and Character-Level Targets for Japanese ASR. - Yusuke Fujita; Tatsuya Komatsu; Yusuke Kida (SLT, 2022)

Interdecoder: using Attention Decoders as Intermediate Regularization for CTC-Based Speech Recognition. - Tatsuya Komatsu; Yusuke Fujita (SLT, 2022)

MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition. - Jin Sakuma; Tatsuya Komatsu; Robin Scheibler (CoRR, 2022)

Multi-sequence Intermediate Conditioning for CTC-based ASR. - Yusuke Fujita; Tatsuya Komatsu; Yusuke Kida (CoRR, 2022)

How Information on Acoustic Scenes and Sound Events Mutually Benefits Event Detection and Scene Classification Tasks. - Keisuke Imoto; Yuka Komatsu; Shunsuke Tsubaki; Tatsuya Komatsu (CoRR, 2022)

Neural Diarization with Non-Autoregressive Intermediate Attractors. - Yusuke Fujita; Tatsuya Komatsu; Robin Scheibler; Yusuke Kida; Tetsuji Ogawa (ICASSP, 2023)

Analysis of Biological Data of Cows and Development of Detection Systems for Calving Phase. - Hiroto Noma; Tatsuya Komatsu; Kansei Matsumoto; Hidetoshi Oya; Ryotaro Miura; Koji Yoshioka; Yoshikatsu Hoshi (IECON, 2023)

Target Vocabulary Recognition Based on Multi-Task Learning with Decomposed Teacher Sequences. - Aoi Ito; Tatsuya Komatsu; Yusuke Fujita; Yusuke Kida (INTERSPEECH, 2023)

Keep Decoding Parallel With Effective Knowledge Distillation From Language Models To End-To-End Speech Recognisers. - Michael Hentschel; Yuta Nishikawa; Tatsuya Komatsu; Yusuke Fujita (ICASSP, 2024)

Audio Difference Learning for Audio Captioning. - Tatsuya Komatsu; Yusuke Fujita; Kazuya Takeda; Tomoki Toda (ICASSP, 2024)

PromptTTS++: Controlling Speaker Identity in Prompt-Based Text-To-Speech Using Natural Language Descriptions. - Reo Shimizu; Ryuichi Yamamoto; Masaya Kawamura; Yuma Shirahata; Hironori Doi; Tatsuya Komatsu; Kentaro Tachibana (ICASSP, 2024)

Audio Fingerprinting with Holographic Reduced Representations. - Yusuke Fujita; Tatsuya Komatsu (INTERSPEECH, 2024)

Universal Score-based Speech Enhancement with High Content Preservation. - Robin Scheibler; Yusuke Fujita; Yuma Shirahata; Tatsuya Komatsu (INTERSPEECH, 2024)

Lighthouse: A User-Friendly Library for Reproducible Video Moment Retrieval and Highlight Detection. - Taichi Nishimura; Shota Nakada; Hokuto Munakata; Tatsuya Komatsu (CoRR, 2024)

Music Tagging with Classifier Group Chains. - Takuya Hasumi; Tatsuya Komatsu; Yusuke Fujita (ICASSP, 2025)

Pre-training with Synthetic Patterns for Audio. - Yuchi Ishikawa; Tatsuya Komatsu; Yoshimitsu Aoki (ICASSP, 2025)

Aligned Contrastive Learning for Text-to-Music Retrieval. - Tatsuya Komatsu; Hokuto Munakata; Takuya Hasumi; Yusuke Fujita (ICASSP, 2025)

Language-based Audio Moment Retrieval. - Hokuto Munakata; Taichi Nishimura; Shota Nakada; Tatsuya Komatsu (ICASSP, 2025)

DETECLAP: Enhancing Audio-Visual Representation Learning with Object Information. - Shota Nakada; Taichi Nishimura; Hokuto Munakata; Masayoshi Kondo; Tatsuya Komatsu (ICASSP, 2025)

Language-Guided Contrastive Audio-Visual Masked Autoencoder with Automatically Generated Audio-Visual-Text Triplets from Videos. - Yuchi Ishikawa; Shota Nakada; Hokuto Munakata; Kazuhiro Saito; Tatsuya Komatsu; Yoshimitsu Aoki (CoRR, 2025)