Papers
1–3 of 3Research Paper·Mar 12, 2026
Toward Complex-Valued Neural Networks for Waveform Generation
Neural vocoders have recently advanced waveform generation, yielding natural and expressive audio. Among these approaches, iSTFT-based vocoders have recently gained attention. They predict a complex-v...
9.0 viability
Research Paper·Mar 4, 2026
Low-Resource Guidance for Controllable Latent Audio Diffusion
Generative audio requires fine-grained controllable outputs, yet most existing methods require model retraining on specific controls or inference-time controls (\textit{e.g.}, guidance) that can also ...
7.0 viability
Research Paper·Mar 8, 2026
Analysis-Driven Procedural Generation of an Engine Sound Dataset with Embedded Control Annotations
Computational engine sound modeling is central to the automotive audio industry, particularly for active sound design, virtual prototyping, and emerging data-driven engine sound synthesis methods. The...
7.0 viability