Human-centered favorite music estimation: EEG-based extraction of audio features reflecting individual preference. - Ryosuke Sawata; Takahiro Ogawa 001; Miki Haseyama (DSP, 2015)

Novel favorite music classification using EEG-based optimal audio features selected via KDLPCCA. - Ryosuke Sawata; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2016)

The Extraction of Individual Music Preference Based on Deep Time-series CCA. - Ryosuke Sawata; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Novel Audio Feature Projection Using KDLPCCA-Based Correlation with EEG Features for Favorite Music Classification. - Ryosuke Sawata; Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Affect. Comput., 2019)

Human-Centered Favorite Music Classification Using EEG-Based Individual Music Preference Via Deep Time-Series CCA. - Ryosuke Sawata; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

All For One And One For All: Improving Music Separation By Bridging Networks. - Ryosuke Sawata; Stefan Uhlich; Shusuke Takahashi; Yuki Mitsufuji (ICASSP, 2021)

Manifold-Aware Deep Clustering: Maximizing Angles Between Embedding Vectors Based on Regular Simplex. - Keitaro Tanaka; Ryosuke Sawata; Shusuke Takahashi (Interspeech, 2021)

CrossNet-Open-Unmix for Music Source Separation (X-UMX). - Ryosuke Sawata; Stefan Uhlich; Shusuke Takahashi; Yuki Mitsufuji (Zenodo, 2021)

CrossNet-Open-Unmix for Music Source Separation (X-UMX-HQ). - Ryosuke Sawata; Stefan Uhlich; Shusuke Takahashi; Yuki Mitsufuji (Zenodo, 2021)

Improving Character Error Rate is Not Equal to Having Clean Speech: Speech Enhancement for ASR Systems with Black-Box Acoustic Models. - Ryosuke Sawata; Yosuke Kashiwagi; Shusuke Takahashi (ICASSP, 2022)

A Versatile Diffusion-based Generative Refiner for Speech Enhancement. - Ryosuke Sawata; Naoki Murata; Yuhta Takida; Toshimitsu Uesaka; Takashi Shibuya 001; Shusuke Takahashi; Yuki Mitsufuji (CoRR, 2022)

CrossNet-Open-Unmix for Music Source Separation (X-UMXL). - Ryosuke Sawata; Stefan Uhlich; Shusuke Takahashi; Yuki Mitsufuji (Zenodo, 2022)

Diffroll: Diffusion-Based Generative Music Transcription with Unsupervised Pretraining Capability. - Kin Wai Cheuk; Ryosuke Sawata; Toshimitsu Uesaka; Naoki Murata; Naoya Takahashi; Shusuke Takahashi; Dorien Herremans; Yuki Mitsufuji (ICASSP, 2023)

Class-Aware Shared Gaussian Process Dynamic Model. - Ryosuke Sawata; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement. - Ryosuke Sawata; Naoki Murata; Yuhta Takida; Toshimitsu Uesaka; Takashi Shibuya 001; Shusuke Takahashi; Yuki Mitsufuji (INTERSPEECH, 2023)

The Whole Is Greater than the Sum of Its Parts: Improving DNN-based Music Source Separation. - Ryosuke Sawata; Naoya Takahashi; Stefan Uhlich; Shusuke Takahashi; Yuki Mitsufuji (CoRR, 2023)

Hearing Anything Anywhere. - Mason Long Wang; Ryosuke Sawata; Samuel Clarke; Ruohan Gao; Shangzhe Wu; Jiajun Wu 001 (CVPR, 2024)

The whole is greater than the sum of its parts: improving music source separation by bridging networks. - Ryosuke Sawata; Naoya Takahashi; Stefan Uhlich; Shusuke Takahashi; Yuki Mitsufuji (EURASIP J. Audio Speech Music. Process., 2024)

HumanGif: Single-View Human Diffusion with Generative Prior. - Shoukang Hu; Takuya Narihira; Kazumi Fukuda; Ryosuke Sawata; Takashi Shibuya 001; Yuki Mitsufuji (CoRR, 2025)