Visual Acoustic Matching

Changan Chen1,4, Ruohan Gao2, Paul Calamia3, Kristen Grauman1,4
1UT Austin, 2Stanford University, 3Facebook Reality Labs, 4Facebook AI Research

We introduce the visual acoustic matching task, in which an audio clip is transformed to sound like it was recorded in a target environment. Given an image of the target environment and a waveform for the source audio, the goal is to re-synthesize the audio to match the target room acoustics as suggested by its visible geometry and materials. To address this novel task, we propose a cross-modal transformer model that uses audio-visual attention to inject visual properties into the audio and generate realistic audio output. In addition, we devise a self-supervised training objective that can learn acoustic matching from in-the-wild Web videos, despite their lack of acoustically mismatched audio. We demonstrate that our approach successfully translates human speech to a variety of real-world environments depicted in images, outperforming both traditional acoustic matching and more heavily supervised baselines.

Supplementary video

Audio-visual examples of visual acoustic matching on both synthetic data and Web videos.


(1) Changan Chen*, Unnat Jain*, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip Robinson, Kristen Grauman. SoundSpaces: Audio-Visual Navigation in 3D Environments. In ECCV 2020 [Bibtex]
(2) Ruohan Gao, Changan Chen, Carl Schissler, Ziad Al-Halah, Kristen Grauman. VisualEchoes: Spatial Image Representation Learning through Echolocation. In ECCV 2020 [Bibtex]
(3) Changan Chen, Sagnik Majumder, Ziad Al-Halah, Ruohan Gao, Santhosh Kumar Ramakrishnan, Kristen Grauman. Learning to Set Waypoints for Audio-Visual Navigation. In ICLR 2021 [Bibtex]
(4) Changan Chen, Ziad Al-Halah, Kristen Grauman. Semantic Audio-Visual Navigation. In CVPR 2021 [Bibtex]
(5) Changan Chen, Wei Sun, David Harwath, Kristen Grauman Learning Audio-Visual Dereverberation. In arxiv 2021 [Bibtex]


UT Austin is supported in part by DARPA Lifelong Learning Machines.

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