3 citations · 3 across the 9 of their papers we have counts for
6 papers · 1 filter
Unsupervised Instantaneous Phase and Frequency Tracking by Inverse Voice Synthesis
Chin-Yun Yu, György Fazekas
Knowledge-driven neural vocoders struggle to learn reliable fundamental frequency end-to-end, because spectral objectives provide weak supervision of periodic structure and lack ph…
Pitch Smoothing Using Relative Interval Networks
Chin-Yun Yu, Chi-Jen Peng, Li Su +1
Pitch tracking systems typically couple a per-frame fundamental frequency () estimator with a temporal smoothing stage to obtain continuous trajectories. Conventional Viterbi…
Sound Matching an Analogue Levelling Amplifier Using the Newton-Raphson Method
Chin-Yun Yu, György Fazekas
Automatic differentiation through digital signal processing algorithms for virtual analogue modelling has recently gained popularity. These algorithms are typically more computatio…
Differentiable Time-Varying Linear Prediction in the Context of End-to-End Analysis-by-Synthesis
Chin-Yun Yu, György Fazekas
Training the linear prediction (LP) operator end-to-end for audio synthesis in modern deep learning frameworks is slow due to its recursive formulation. In addition, frame-wise app…
Differentiable All-pole Filters for Time-varying Audio Systems
Chin-Yun Yu, Christopher Mitcheltree, Alistair Carson +3
Infinite impulse response filters are an essential building block of many time-varying audio systems, such as audio effects and synthesisers. However, their recursive structure imp…
Singing Voice Synthesis Using Differentiable LPC and Glottal-Flow-Inspired Wavetables
Chin-Yun Yu, György Fazekas
This paper introduces GlOttal-flow LPC Filter (GOLF), a novel method for singing voice synthesis (SVS) that exploits the physical characteristics of the human voice using different…