32 citations · 127 across the 12 of their papers we have counts for
8 papers · 1 filter
BEANS: The Benchmark of Animal Sounds
Masato Hagiwara, Benjamin Hoffman, Jen-Yu Liu +3
The use of machine learning (ML) based techniques has become increasingly popular in the field of bioacoustics over the last years. Fundamental requirements for the successful appl…
Modeling Animal Vocalizations through Synthesizers
Masato Hagiwara, Maddie Cusimano, Jen-Yu Liu
Modeling real-world sound is a fundamental problem in the creative use of machine learning and many other fields, including human speech processing and bioacoustics. Transformer-ba…
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
Wen-Yi Hsiao, Jen-Yu Liu, Yin-Cheng Yeh +1
To apply neural sequence models such as the Transformers to music generation tasks, one has to represent a piece of music by a sequence of tokens drawn from a finite set of pre-def…
Score and Lyrics-Free Singing Voice Generation
Jen-Yu Liu, Yu-Hua Chen, Yin-Cheng Yeh +1
Generative models for singing voice have been mostly concerned with the task of ``singing voice synthesis,'' i.e., to produce singing voice waveforms given musical scores and text…
Dilated Convolution with Dilated GRU for Music Source Separation
Jen-Yu Liu, Yi-Hsuan Yang
Stacked dilated convolutions used in Wavenet have been shown effective for generating high-quality audios. By replacing pooling/striding with dilation in convolution layers, they c…
Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks
Cheng-Wei Wu, Jen-Yu Liu, Yi-Hsuan Yang +1
Can we make a famous rap singer like Eminem sing whatever our favorite song? Singing style transfer attempts to make this possible, by replacing the vocal of a song from the source…
Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation
Jen-Yu Liu, Yi-Hsuan Yang
Convolutional neural networks with skip connections have shown good performance in music source separation. In this work, we propose a denoising Auto-encoder with Recurrent skip Co…
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…