Naoya Takahashi

Improving music source separation based on deep neural networks through data augmentation and network blending

Stefan Uhlich, Marcello Porcu, Franck Giron et al. · 2017 · 192 citations

Music, Sisec Dsd100 Dataset, Data Augmentation +15

AENet: Learning Deep Audio Features for Video Analysis

Naoya Takahashi, Michael Gygli, Luc Van Gool · IEEE Transactions on Multimedia · 2017 · 167 citations

Convolutional Neural Network, Engineering, Video Analysis +14

Mmdenselstm: An Efficient Combination of Convolutional and Recurrent Neural Networks for Audio Source Separation

Naoya Takahashi, Nabarun Goswami, Yuki Mitsufuji · 2018 · 164 citations

Music, Source Separation, Deep Neural Networks +15

Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Recognition

Naoya Takahashi, Michael Gygli, Beat Pfister et al. · 2016 · 155 citations

Data Augmentation, Convolutional Neural Network, Engineering +9

Multi-Scale multi-band densenets for audio source separation

Naoya Takahashi, Yuki Mitsufuji · 2017 · 150 citations

Source Separation, Convolutional Neural Network, Engineering +15