Check out the article: https://www.technologyreview.com/2023/11/09/1083145/noise-canceling-headphones-could-let-you-pick-and-choose-the-sounds-you-want-to-hear/

Imagine being able to listen to the birds chirping in a park without hearing the chatter from other hikers, or being able to block out traffic noise on a busy street while still being able to hear emergency sirens and car honks. We introduce semantic hearing, a novel capability for   Read More ...

Imagine being in a crowded room with a cacophony of speakers and having the ability to focus on or remove speech from a specific 2D region. This would require understanding and manipulating an acoustic scene, isolating each speaker, and associating a 2D spatial context with each constituent speech. However, separating   Read More ...

Using wind to disperse microfliers that fall like seeds and leaves can help automate large-scale sensor deployments. Here, we present battery-free microfliers that can change shape in mid-air to vary their dispersal distance. We design origami microfliers using bi-stable leaf-out structures and uncover an important property: a simple change in   Read More ...

The emergence of water-proof mobile and wearable devices (e.g., Garmin Descent and Apple Watch Ultra) designed for underwater activities like professional scuba diving, opens up opportunities for underwater networking and localization capabilities on these devices. Here, we present the first underwater acoustic positioning system for smart devices. Unlike conventional systems   Read More ...

Justin will be joining Carnegie Mellon University as an assistant professor in the School of Computer Science in Software and Societal Systems and in Electrical and Computer Engineering in Fall 2024. Congrats Justin!

We present NeuriCam, a novel deep learning-based system to achieve video capture from low-power dual-mode IoT camera systems. Our idea is to design a dual-mode camera system where the first mode is low power (1.1 mW) but only outputs grey-scale, low resolution and noisy video and the second mode consumes   Read More ...

We present the first neural network model to achieve real-time and streaming target sound extraction. To accomplish this,we propose Waveformer, an encoder-decoder architecture witha stack of dilated causal convolution layers as the encoder, anda transformer decoder layer as the decoder. This hybrid archi-tecture uses dilated causal convolutions for processing large   Read More ...

The tech giant acquired Sound Life Sciences, a small University of Washington spinout that developed an app to monitor breathing, GeekWire has learned. https://www.geekwire.com/2022/exclusive-google-quietly-acquired-a-seattle-digital-health-startup-that-built-an-app-to-monitor-breathing/ Gollakota founded the company in 2018. Sound Life Sciences’ app monitored breathing using sonar technology to detect movement. The app had the potential to ease the   Read More ...