Data for: Hearable devices with sound bubbles

The human auditory system has a limited ability to perceive distance and distinguish speakers in crowded settings. A headset technology that can create a sound bubble in which all speakers within the bubble are audible, but speakers and noise outside the bubble are suppressed, could augment human hearing. However, developing such technology is challenging. Here we report an intelligent headset system capable of creating sound bubbles. The system is based on real-time neural networks that use acoustic data from up to six microphones integrated into noise-canceling headsets and are run on-device, processing 8 ms audio chunks in 6.36 ms on an embedded central processing unit. Our neural networks can generate sound bubbles with programmable radii between 1 and 2 meters, and with output signals that reduce the intensity of sounds outside the bubble by 49 decibels. With previously unseen environments and wearers, our system can focus on up to two speakers within the bubble with one to two int..., , , # Data for: Hearable devices with sound bubbles

[https://doi.org/10.5061/dryad.r7sqv9smv](https://doi.org/10.5061/dryad.r7sqv9smv)
This is the dataset for the paper \"Hearable devices with sound bubbles\"

## Description of the data and file structure

The dataset is used to create a **sound bubble** on a hearable, which can create a sound bubble in which all speakers within the bubble are audible, but speakers and noise outside the bubble are suppressed. The dataset in this repo contained the speech data simulated from pyroomacoustic (https://github.com/LCAV/pyroomacoustics). For each data sample in the train/val/test set contains the following files:

metadata.json - JSON file contains all information including room information, microphone array positions, sound source information, and so on.

mixture.wav - the wave file for the multi-channel mixture of multiple sources.

micsxx_yy.wav - the recording of a single sound source yy at the microphone xx for training target.

## Simulation...