| 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 | 146 | 2017 |
| Deep neural network based instrument extraction from music. S Uhlich, F Giron, Y Mitsufuji ICASSP, 2135-2139, 2015 | 107 | 2015 |
| 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 | 106 | 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 | 92 | 2018 |
| Open-unmix-a reference implementation for music source separation FR Stöter, S Uhlich, A Liutkus, Y Mitsufuji The Journal of Open Source Software, 2019 | 81 | 2019 |
| 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 | 58 | 2016 |
| PhaseNet: Discretized Phase Modeling with Deep Neural Networks for Audio Source Separation. N Takahashi, P Agrawal, N Goswami, Y Mitsufuji INTERSPEECH, 2713-2717, 2018 | 41 | 2018 |
| 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 | 41 | 2015 |
| Recursive speech separation for unknown number of speakers N Takahashi, S Parthasaarathy, N Goswami, Y Mitsufuji INTERSPEECH, 1348-1352, 2019 | 34 | 2019 |
| 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 | 34 | 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 | 34 | 2011 |
| 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 9,583,112, 2017 | 29 | 2017 |
| 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 8,949,119, 2015 | 26 | 2015 |
| 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 9,691,410, 2017 | 23 | 2017 |
| 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 9,659,573, 2017 | 23 | 2017 |
| Sound source separation based on non-negative tensor factorization incorporating spatial cue as prior knowledge Y Mitsufuji, A Roebel ICASSP, 71-75, 2013 | 21 | 2013 |
| Mode Domain Spatial Active Noise Control Using Sparse Signal Representation Y Maeno, Y Mitsufuji, TD Abhayapala ICASSP, 211-215, 2018 | 15 | 2018 |
| Multichannel blind source separation based on non-negative tensor factorization in wavenumber domain Y Mitsufuji, S Koyama, H Saruwatari ICASSP, 56-60, 2016 | 15 | 2016 |
| Improving DNN-based music source separation using phase features J Muth, S Uhlich, N Perraudin, T Kemp, F Cardinaux, Y Mitsufuji Joint Workshop on Machine Learning for Music at ICML, IJCAI/ECAI and AAMAS, 2018 | 12 | 2018 |
| Supervised monaural source separation based on autoencoders K Osako, Y Mitsufuji, R Singh, B Raj ICASSP, 11-15, 2017 | 12 | 2017 |
Naoya TakahashiSONY Corp.Verified email at jp.sony.com
