Ryosuke Sawata

According to our database, Ryosuke Sawata authored at least 12 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Class-Aware Shared Gaussian Process Dynamic Model.

Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A Versatile Diffusion-based Generative Refiner for Speech Enhancement.

Ryosuke Sawata, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji

CoRR, 2022

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

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Manifold-Aware Deep Clustering: Maximizing Angles Between Embedding Vectors Based on Regular Simplex.

Keitaro Tanaka, Ryosuke Sawata, Shusuke Takahashi

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

All For One And One For All: Improving Music Separation By Bridging Networks.

Ryosuke Sawata, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji

Proceedings of the IEEE International Conference on Acoustics, 2021

Human-Centered Favorite Music Classification Using EEG-Based Individual Music Preference Via Deep Time-Series CCA.

Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

Novel Audio Feature Projection Using KDLPCCA-Based Correlation with EEG Features for Favorite Music Classification.

Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama

IEEE Trans. Affect. Comput., 2019

The Extraction of Individual Music Preference Based on Deep Time-series CCA.

Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama

Proceedings of the IEEE 8th Global Conference on Consumer Electronics, 2019

2016

Novel favorite music classification using EEG-based optimal audio features selected via KDLPCCA.

Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Human-centered favorite music estimation: EEG-based extraction of audio features reflecting individual preference.

Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama

Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015