4 citations · 6 across the 7 of their papers we have counts for
7 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…
RealImpact: A Dataset of Impact Sound Fields for Real Objects
Samuel Clarke, Ruohan Gao, Mason Wang +5
Objects make unique sounds under different perturbations, environment conditions, and poses relative to the listener. While prior works have modeled impact sounds and sound propaga…
Sparse Fusion for Multimodal Transformers
Yi Ding, Alex Rich, Mason Wang +4
Multimodal classification is a core task in human-centric machine learning. We observe that information is highly complementary across modalities, thus unimodal information can be…