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Alexander Bohlender

2 accepted papers

2023

Improved Deep Speaker Localization and Tracking: Revised Training Paradigm and Controlled Latency

ICASSP 2023accepted

Even without a separate tracking algorithm, the directions of arrival (DOAs) of moving talkers can be estimated with a deep neural network (DNN) when the movement trajectories used for training allow the generalization to real signals. Previously, we proposed a framework for generating training data…

Cited by 0SourceScholar
2020

Least-Squares DOA Estimation with an Informed Phase Unwrapping and Full Bandwidth Robustness

ICASSP 2020accepted

The weighted least-squares (WLS) direction-of-arrival estimator that minimizes an error based on interchannel phase differences is both computationally simple and flexible. However, the approach has several limitations, including an inability to cope with spatial aliasing and a sensitivity to phase…

Cited by 0SourceScholar