Yuki Mitsufuji
Yuki Mitsufuji
Distinguished Engineer, Sony; Specially Appointed Associate Professor, Tokyo Institute of Technology
Verified email at - Homepage
Cited by
Cited by
Open-unmix-a reference implementation for music source separation
FR Stöter, S Uhlich, A Liutkus, Y Mitsufuji
The Journal of Open Source Software, 2019
Improving music source separation based on deep neural networks through data augmentation and network blending
S Uhlich, M Porcu, F Giron, M Enenkl, T Kemp, N Takahashi, Y Mitsufuji
ICASSP, 261-265, 2017
MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation
N Takahashi, N Goswami, Y Mitsufuji
2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC), 2018
Multi-scale multi-band densenets for audio source separation
N Takahashi, Y Mitsufuji
2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017
Deep neural network based instrument extraction from music.
S Uhlich, F Giron, Y Mitsufuji
ICASSP, 2135-2139, 2015
Recursive speech separation for unknown number of speakers
N Takahashi, S Parthasaarathy, N Goswami, Y Mitsufuji
INTERSPEECH, 1348-1352, 2019
ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization And Detection
K Shimada, Y Koyama, N Takahashi, S Takahashi, Y Mitsufuji
ICASSP, 915-919, 2021
Music demixing challenge 2021
Y Mitsufuji, G Fabbro, S Uhlich, FR Stöter, A Défossez, M Kim, W Choi, ...
Frontiers in Signal Processing, 18, 2022
PhaseNet: Discretized Phase Modeling with Deep Neural Networks for Audio Source Separation.
N Takahashi, P Agrawal, N Goswami, Y Mitsufuji
INTERSPEECH, 2713-2717, 2018
D3Net: Densely connected multidilated densenet for music source separation
N Takahashi, Y Mitsufuji
arXiv preprint arXiv:2010.01733, 2020
Densely connected multi-dilated convolutional networks for dense prediction tasks
N Takahashi, Y Mitsufuji
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events
A Politis, K Shimada, P Sudarsanam, S Adavanne, D Krause, Y Koyama, ...
arXiv preprint arXiv:2206.01948, 2022
Signal processing apparatus and signal processing method, encoder and encoding method, decoder and decoding method, and program
Y Yamamoto, T Chinen, H Honma, Y Mitsufuji
US Patent 9,406,312, 2016
Multi-ACCDOA: Localizing and Detecting Overlapping Sounds from the Same Class with Auxiliary Duplicating Permutation Invariant Training
K Shimada, Y Koyama, S Takahashi, N Takahashi, E Tsunoo, Y Mitsufuji
ICASSP, 316-320, 2022
All for One and One for All: Improving Music Separation by Bridging Networks
R Sawata, S Uhlich, S Takahashi, Y Mitsufuji
ICASSP, 51-55, 2021
Consistency trajectory models: Learning probability flow ode trajectory of diffusion
D Kim, CH Lai, WH Liao, N Murata, Y Takida, T Uesaka, Y He, Y Mitsufuji, ...
ICLR, 2024
Frequency band extending device and method, encoding device and method, decoding device and method, and program
Y Yamamoto, T Chinen, H Honma, Y Mitsufuji
US Patent 9,208,795, 2015
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
Y Takida, T Shibuya, WH Liao, CH Lai, J Ohmura, T Uesaka, N Murata, ...
ICML, 20987-21012, 2022
Frequency band extending apparatus, frequency band extending method, player apparatus, playing method, program and recording medium
Y Mitsufuji, T Chinen, H Honma, K Makino
US Patent App. 13/616,944, 2013
Frequency Band Extension Apparatus and Method, Encoding Apparatus and Method, Decoding Apparatus and Method, and Program
H Honma, T Chinen, Y Yamamoto, Y Mitsufuji, K Makino
US Patent App. 12/739,106, 2011
The system can't perform the operation now. Try again later.
Articles 1–20