Ausgabe 4/2020
Special Issue on Deep Learning for Music and Audio (pp.913-1107)
Inhalt (19 Artikel)
The emergence of deep learning: new opportunities for music and audio technologies
Dorien Herremans, Ching-Hua Chuan
Bioacoustic detection with wavelet-conditioned convolutional neural networks
Ivan Kiskin, Davide Zilli, Yunpeng Li, Marianne Sinka, Kathy Willis, Stephen Roberts
Automatic chord label personalization through deep learning of shared harmonic interval profiles
Hendrik Vincent Koops, W. Bas de Haas, Jeroen Bransen, Anja Volk
Basic filters for convolutional neural networks applied to music: Training or design?
Monika Dörfler, Thomas Grill, Roswitha Bammer, Arthur Flexer
This time with feeling: learning expressive musical performance
Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan
Towards a Deep Improviser: a prototype deep learning post-tonal free music generator
Roger T. Dean, Jamie Forth
Deep learning for music generation: challenges and directions
Jean-Pierre Briot, François Pachet
Anticipation-RNN: enforcing unary constraints in sequence generation, with application to interactive music generation
Gaëtan Hadjeres, Frank Nielsen
Understanding auditory representations of emotional expressions with neural networks
Iris Wieser, Pablo Barros, Stefan Heinrich, Stefan Wermter
From context to concept: exploring semantic relationships in music with word2vec
Ching-Hua Chuan, Kat Agres, Dorien Herremans
Singing voice separation using a deep convolutional neural network trained by ideal binary mask and cross entropy
Kin Wah Edward Lin, B. T. Balamurali, Enyan Koh, Simon Lui, Dorien Herremans
Applying visual domain style transfer and texture synthesis techniques to audio: insights and challenges
Muhammad Huzaifah bin Md Shahrin, Lonce Wyse
One deep music representation to rule them all? A comparative analysis of different representation learning strategies
Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic
Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate audio restoration
Jun Deng, Björn Schuller, Florian Eyben, Dagmar Schuller, Zixing Zhang, Holly Francois, Eunmi Oh
A half-precision compressive sensing framework for end-to-end person re-identification
Longlong Liao, Zhibang Yang, Qing Liao, Kenli Li, Keqin Li, Jie Liu, Qi Tian
Bat algorithm-based weighted Laplacian probabilistic neural network
Shraddha M. Naik, Ravi Prasad K. Jagannath, Venkatnareshbabu Kuppili
A disaster relief operations management model: a hybrid LP–GA approach
Hasan Molladavoodi, Mohammad Mahdi Paydar, Abdul Sattar Safaei
A possibilistic closed-loop supply chain: pricing, advertising and remanufacturing optimization
Ata Allah Taleizadeh, Maryam Karimi Mamaghan, Seyed Ali Torabi