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Heinrich W. Löllmann

3 accepted papers

2021

Effective Rank-Based Estimation of the Coherent-to-Diffuse Power Ratio

ICASSP 2021accepted

Many algorithms for speech dereverberation and noise reduction rely on an estimate of the coherent-to-diffuse power ratio (CDR). Such systems typically operate in very diverse acoustic conditions, and CDR estimators relying on very weak model assumptions about the acoustic sound field of the desired…

Cited by 0SourceScholar
2018

A Novel Ego-Noise Suppression Algorithm for Acoustic Signal Enhancement in Autonomous Systems

ICASSP 2018accepted

The use of autonomous systems (ASs), such as humanoid robots, drones or self-driving vehicles, has expanded significantly in recent years. For such systems, acoustic scene analysis can provide useful information about the environment and supports the AS to react appropriately. However, compared to m…

Cited by 0SourceScholar