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Ryosuke Sawata
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2020 – today
- 2024
- [j2]Ryosuke Sawata
, Naoya Takahashi, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji:
The whole is greater than the sum of its parts: improving music source separation by bridging networks. EURASIP J. Audio Speech Music. Process. 2024(1): 39 (2024) - [i7]Mason Wang, Ryosuke Sawata, Samuel Clarke, Ruohan Gao, Shangzhe Wu, Jiajun Wu:
Hearing Anything Anywhere. CoRR abs/2406.07532 (2024) - 2023
- [c10]Kin Wai Cheuk, Ryosuke Sawata, Toshimitsu Uesaka, Naoki Murata, Naoya Takahashi, Shusuke Takahashi, Dorien Herremans, Yuki Mitsufuji:
Diffroll: Diffusion-Based Generative Music Transcription with Unsupervised Pretraining Capability. ICASSP 2023: 1-5 - [c9]Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama:
Class-Aware Shared Gaussian Process Dynamic Model. ICASSP 2023: 1-5 - [c8]Ryosuke Sawata, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji:
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement. INTERSPEECH 2023: 3824-3828 - [i6]Ryosuke Sawata, Naoya Takahashi, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji:
The Whole Is Greater than the Sum of Its Parts: Improving DNN-based Music Source Separation. CoRR abs/2305.07855 (2023) - 2022
- [c7]Ryosuke Sawata, Yosuke Kashiwagi, Shusuke Takahashi:
Improving Character Error Rate is Not Equal to Having Clean Speech: Speech Enhancement for ASR Systems with Black-Box Acoustic Models. ICASSP 2022: 991-995 - [i5]Kin Wai Cheuk, Ryosuke Sawata, Toshimitsu Uesaka, Naoki Murata, Naoya Takahashi, Shusuke Takahashi, Dorien Herremans, Yuki Mitsufuji:
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability. CoRR abs/2210.05148 (2022) - [i4]Ryosuke Sawata, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji:
A Versatile Diffusion-based Generative Refiner for Speech Enhancement. CoRR abs/2210.17287 (2022) - 2021
- [c6]Ryosuke Sawata, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji:
All For One And One For All: Improving Music Separation By Bridging Networks. ICASSP 2021: 51-55 - [c5]Ryosuke Sawata, Takahiro Ogawa
, Miki Haseyama:
Human-Centered Favorite Music Classification Using EEG-Based Individual Music Preference Via Deep Time-Series CCA. ICASSP 2021: 1320-1324 - [c4]Keitaro Tanaka, Ryosuke Sawata, Shusuke Takahashi:
Manifold-Aware Deep Clustering: Maximizing Angles Between Embedding Vectors Based on Regular Simplex. Interspeech 2021: 1134-1138 - [i3]Keitaro Tanaka, Ryosuke Sawata, Shusuke Takahashi:
Manifold-Aware Deep Clustering: Maximizing Angles between Embedding Vectors Based on Regular Simplex. CoRR abs/2106.02331 (2021) - [i2]Ryosuke Sawata, Yosuke Kashiwagi, Shusuke Takahashi:
Improving Character Error Rate Is Not Equal to Having Clean Speech: Speech Enhancement for ASR Systems with Black-box Acoustic Models. CoRR abs/2110.05968 (2021) - 2020
- [i1]Ryosuke Sawata, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji:
All for One and One for All: Improving Music Separation by Bridging Networks. CoRR abs/2010.04228 (2020)
2010 – 2019
- 2019
- [j1]Ryosuke Sawata
, Takahiro Ogawa
, Miki Haseyama
:
Novel Audio Feature Projection Using KDLPCCA-Based Correlation with EEG Features for Favorite Music Classification. IEEE Trans. Affect. Comput. 10(3): 430-444 (2019) - [c3]Ryosuke Sawata, Takahiro Ogawa
, Miki Haseyama:
The Extraction of Individual Music Preference Based on Deep Time-series CCA. GCCE 2019: 15-16 - 2016
- [c2]Ryosuke Sawata, Takahiro Ogawa
, Miki Haseyama:
Novel favorite music classification using EEG-based optimal audio features selected via KDLPCCA. ICASSP 2016: 759-763 - 2015
- [c1]Ryosuke Sawata, Takahiro Ogawa
, Miki Haseyama:
Human-centered favorite music estimation: EEG-based extraction of audio features reflecting individual preference. DSP 2015: 818-822
Coauthor Index
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