135 citations · 148 across the 8 of their papers we have counts for
9 papers · 1 filter
SCAPES: Semantically Conditioned Autoregressive Prior for Environmental Sounds
Esteban Gutiérrez, Lonce Wyse, Frederic Font +1
As generative audio models grow in complexity, the computational and ecological costs of synthesizing everyday sounds have become increasingly prohibitive, often requiring industri…
Physics-Informed Neural Engine Sound Modeling with Differentiable Pulse-Train Synthesis
Robin Doerfler, Lonce Wyse
Engine sounds originate from sequential exhaust pressure pulses rather than sustained harmonic oscillations. While neural synthesis methods typically aim to approximate the resulti…
Analysis-Driven Procedural Generation of an Engine Sound Dataset with Embedded Control Annotations
Robin Doerfler, Lonce Wyse
Computational engine sound modeling is central to the automotive audio industry, particularly for active sound design applications and virtual prototyping. Emerging data-driven eng…
A Statistics-Driven Differentiable Approach for Sound Texture Synthesis and Analysis
Esteban Gutiérrez, Frederic Font, Xavier Serra +1
In this work, we introduce TexStat, a novel loss function specifically designed for the analysis and synthesis of texture sounds characterized by stochastic structure and perceptua…
MTCRNN: A multi-scale RNN for directed audio texture synthesis
M. Huzaifah, L. Wyse
Audio textures are a subset of environmental sounds, often defined as having stable statistical characteristics within an adequately large window of time but may be unstructured lo…
Conditioning a Recurrent Neural Network to synthesize musical instrument transients
Lonce Wyse, Muhammad Huzaifah
A recurrent Neural Network (RNN) is trained to predict sound samples based on audio input augmented by control parameter information for pitch, volume, and instrument identificatio…