293 citations · 1k across the 72 of their papers we have counts for
7 papers · 1 filter
Vertex-Context Sampling for Weighted Network Embedding
Chih-Ming Chen, Yi-Hsuan Yang, Yian Chen +1
In recent years, network embedding methods have garnered increasing attention because of their effectiveness in various information retrieval tasks. The goal is to learn low-dimens…
Hit Song Prediction for Pop Music by Siamese CNN with Ranking Loss
Lang-Chi Yu, Yi-Hsuan Yang, Yun-Ning Hung +1
A model for hit song prediction can be used in the pop music industry to identify emerging trends and potential artists or songs before they are marketed to the public. While most…
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang +1
Generating music has a few notable differences from generating images and videos. First, music is an art of time, necessitating a temporal model. Second, music is usually composed…
Generating Music Medleys via Playing Music Puzzle Games
Yu-Siang Huang, Szu-Yu Chou, Yi-Hsuan Yang
Generating music medleys is about finding an optimal permutation of a given set of music clips. Toward this goal, we propose a self-supervised learning task, called the music puzzl…
Music Signal Processing Using Vector Product Neural Networks
Z. C. Fan, T. S. Chan, Y. H. Yang +1
We propose a novel neural network model for music signal processing using vector product neurons and dimensionality transformations. Here, the inputs are first mapped from real val…
Revisiting the problem of audio-based hit song prediction using convolutional neural networks
Li-Chia Yang, Szu-Yu Chou, Jen-Yu Liu +2
Being able to predict whether a song can be a hit has impor- tant applications in the music industry. Although it is true that the popularity of a song can be greatly affected by e…
MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation
Li-Chia Yang, Szu-Yu Chou, Yi-Hsuan Yang
Most existing neural network models for music generation use recurrent neural networks. However, the recent WaveNet model proposed by DeepMind shows that convolutional neural netwo…