124 citations · 358 across the 27 of their papers we have counts for
4 papers · 1 filter
Underwater Acoustic Communication Receiver Using Deep Belief Network
Abigail Lee-Leon, Chau Yuen, Dorien Herremans
Underwater environments create a challenging channel for communications. In this paper, we design a novel receiver system by exploring the machine learning technique--Deep Belief N…
Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling
Hao Hao Tan, Dorien Herremans
High-level musical qualities (such as emotion) are often abstract, subjective, and hard to quantify. Given these difficulties, it is not easy to learn good feature representations…
Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance
Hao Hao Tan, Yin-Jyun Luo, Dorien Herremans
We present a controllable neural audio synthesizer based on Gaussian Mixture Variational Autoencoders (GM-VAE), which can generate realistic piano performances in the audio domain…
Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders
Yin-Jyun Luo, Chin-Chen Hsu, Kat Agres +1
We propose a flexible framework that deals with both singer conversion and singers vocal technique conversion. The proposed model is trained on non-parallel corpora, accommodates m…