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Found 3 papers, 2 papers with code
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
