5 papers
Latent Fourier Transform
Mason Wang, Cheng-Zhi Anna Huang
We introduce the Latent Fourier Transform (LatentFT), a framework that provides novel frequency-domain controls for generative music models. LatentFT combines a diffusion autoencod…
Streaming Generation for Music Accompaniment
Yusong Wu, Mason Wang, Heidi Lei +5
Music generation models can produce high-fidelity coherent accompaniment given complete audio input, but are limited to editing and loop-based workflows. We study real-time audio-t…
Hearing Anything Anywhere
Mason Wang, Ryosuke Sawata, Samuel Clarke +3
Recent years have seen immense progress in 3D computer vision and computer graphics, with emerging tools that can virtualize real-world 3D environments for numerous Mixed Reality (…
Subtractive Training for Music Stem Insertion using Latent Diffusion Models
Ivan Villa-Renteria, Mason L. Wang, Zachary Shah +4
We present Subtractive Training, a simple and novel method for synthesizing individual musical instrument stems given other instruments as context. This method pairs a dataset of c…
SoundCam: A Dataset for Finding Humans Using Room Acoustics
Mason Wang, Samuel Clarke, Jui-Hsien Wang +2
A room's acoustic properties are a product of the room's geometry, the objects within the room, and their specific positions. A room's acoustic properties can be characterized by i…