Massive Distributed Microphone Array Dataset

Corey, Ryan M.; Skarha, Matthew D.; Singer, Andrew C.

doi:10.13012/b2idb-6216881_v1

Cited by 4 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To quantify the source separation and enhancement performance of the system, each sound source was played back and recorded separately to capture the source images, which can be added together to form test mixtures. The dataset is available on the Illinois Data Bank [31].…”

Section: Methodsmentioning

confidence: 99%

Cooperative Audio Source Separation and Enhancement Using Distributed Microphone Arrays and Wearable Devices

Corey

Skarha

Singer

2019

2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

Self Cite

View full text Add to dashboard Cite

Augmented listening devices such as hearing aids often perform poorly in noisy and reverberant environments with many competing sound sources. Large distributed microphone arrays can improve performance, but data from remote microphones often cannot be used for delay-constrained real-time processing. We present a cooperative audio source separation and enhancement system that leverages wearable listening devices and other microphone arrays spread around a room. The full distributed array is used to separate sound sources and estimate their statistics. Each listening device uses these statistics to design real-time binaural audio enhancement filters using its own local microphones. The system is demonstrated experimentally using 10 speech sources and 160 microphones in a large, reverberant room.

show abstract

Section: Methodsmentioning

confidence: 99%