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cs.SD2026
Stable Differentiable Modal Synthesis for Learning Nonlinear Dynamics
Victor Zheleznov, Stefan Bilbao, Alec Wright +1
Modal methods are a long-standing approach to physical modelling synthesis. Extensions to nonlinear problems are possible, leading to coupled nonlinear systems of ordinary differen…
cs.SD2025
Learning Nonlinear Dynamics in Physical Modelling Synthesis using Neural Ordinary Differential Equations
Victor Zheleznov, Stefan Bilbao, Alec Wright +1
Modal synthesis methods are a long-standing approach for modelling distributed musical systems. In some cases extensions are possible in order to handle geometric nonlinearities. O…
cs.SD2024★ 5 cited
Natural language guidance of high-fidelity text-to-speech with synthetic annotations
Dan Lyth, Simon King
Text-to-speech models trained on large-scale datasets have demonstrated impressive in-context learning capabilities and naturalness. However, control of speaker identity and style…