3 papers
eess.AS2021
Unsupervised Clustered Federated Learning in Complex Multi-source Acoustic Environments
Alexandru Nelus, Rene Glitza, Rainer Martin
In this paper we introduce a realistic and challenging, multi-source and multi-room acoustic environment and an improved algorithm for the estimation of source-dominated microphone…
eess.AS2021
Estimation of Microphone Clusters in Acoustic Sensor Networks using Unsupervised Federated Learning
Alexandru Nelus, Rene Glitza, Rainer Martin
In this paper we present a privacy-aware method for estimating source-dominated microphone clusters in the context of acoustic sensor networks (ASNs). The approach is based on clus…
cs.SD2018
Binaural Source Localization based on Modulation-Domain Features and Decision Pooling
Semih Ağcaer, Rainer Martin
In this work we apply Amplitude Modulation Spectrum (AMS) features to the source localization problem. Our approach computes 36 bilateral features for 2s long signal segments and e…