2 citations · 3 across the 3 of their papers we have counts for
3 papers
eess.AS2018★ 2 cited
Modeling Singing F0 With Neural Network Driven Transition-Sustain Models
Kanru Hua
This study focuses on generating fundamental frequency (F0) curves of singing voice from musical scores stored in a midi-like notation. Current statistical parametric approaches to…
cs.SD2018
Do WaveNets Dream of Acoustic Waves?
Kanru Hua
Various sources have reported the WaveNet deep learning architecture being able to generate high-quality speech, but to our knowledge there haven't been studies on the interpretati…
eess.AS2017★ 1 cited
Nebula: F0 Estimation and Voicing Detection by Modeling the Statistical Properties of Feature Extractors
Kanru Hua
A F0 and voicing status estimation algorithm for high quality speech analysis/synthesis is proposed. This problem is approached from a different perspective that models the behavio…