Search Results for author:
Found 4 papers, 4 papers with code
Look Once to Hear: Target Speech Hearing with Noisy Examples
We present the first enrollment interface where the wearer looks at the target speaker for a few seconds to capture a single, short, highly noisy, binaural example of the target speaker.
Semantic Hearing: Programming Acoustic Scenes with Binaural Hearables
To achieve this, we make two technical contributions: 1) we present the first neural network that can achieve binaural target sound extraction in the presence of interfering sounds and background noise, and 2) we design a training methodology that allows our system to generalize to real-world use.
Real-Time Target Sound Extraction
We present the first neural network model to achieve real-time and streaming target sound extraction.
Ranked #1 on
Streaming Target Sound Extraction
on FSDSoundScapes
NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
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 much higher power (100 mW) but outputs color and higher resolution images.
Colorization
Key-Frame-based Video Super-Resolution (K = 15)
+1
