Source number estimation in reverberant conditions via full-band weighted, adaptive fuzzy c-means clustering

Source number estimation in reverberant conditions via full-band weighted, adaptive fuzzy c-means clustering

We introduce a novel approach for source number estimation through an adaptive fuzzy c-means clustering. Spatial feature vectors are extracted from microphone observations, weighted for reliability and then clustered in a full-band manner using an adaptive variation on the fuzzy c-means. A number of...

Full description

Bibliographic Details
Main Authors: Hollick, J., Jafari, I., Togneri, R., Nordholm, Sven
Other Authors: ICASSP 2014 Publication Chair Maria Sabrina Greco
Format: Conference Paper
Published: IEEE 2014
Subjects:
fuzzy c-means clustering
source number estimation
weights
adaptive
quality measure
Online Access:http://hdl.handle.net/20.500.11937/35254

Similar Items

Similar Items