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Oliver Thiergart

8 accepted papers

2025

A first-order DirAC-based parametric Ambisonic coder for immersive communications

ICASSP 2025accepted

Directional Audio Coding (DirAC) is a proven method for parametrically representing a 3D audio scene in B-format and is capable of reproducing it on arbitrary loudspeaker layouts. Although such a method seems well suited for low bitrate Ambisonic transmission, little work has been done on the feasib…

Cited by 0SourceScholar
2025

Low-Complexity Neural Speech Dereverberation With Adaptive Target Control

ICASSP 2025accepted

Existing neural network-based speech dereverberation approaches use a fixed-length early reflection part of the reverberant signal as the target for estimation, irrespective of the severity of reverberation. Such an approach often leads to distortions in the enhanced signals in highly reverberant sc…

Cited by 0SourceScholar
2024

Binaural Rendering of Heterogeneous Sound Sources with Extent

ICASSP 2024accepted

In spatial audio rendering applications, it is often desired to render sound sources with a certain spatial extent in a realistic way. While existing methods mainly consider rendering of homogeneously extended sound sources (i.e., with constant radiation characteristics over the extent), rendering o…

Cited by 0SourceScholar
2024

Sector-Based Interference Cancellation for Robust Keyword Spotting Applications Using an Informed MPDR Beamformer

ICASSP 2024accepted

A low-complexity, sector-based interference cancellation approach is proposed for voice-controlled devices, e.g., smart speakers. We propose an informed minimum power distortionless response beamformer that provides an optimal trade-off between noise reduction, dereverberation, and interference canc…

Cited by 0SourceScholar
2024

Ultra Low Complexity Deep Learning Based Noise Suppression

ICASSP 2024accepted

This paper introduces an innovative method for reducing the computational complexity of deep neural networks in real-time speech enhancement on resource-constrained devices. The proposed approach utilizes a two-stage processing framework, employing channelwise feature reorientation to reduce the com…

Cited by 0SourceScholar
2019

Combining Linear Spatial Filtering and Non-linear Parametric Processing for High-quality Spatial Sound Capturing

ICASSP 2019accepted

Flexible spatial sound capturing and reproduction can be achieved with multiple microphones by using linear spatial filtering or non-linear parametric processing. The non-linear approaches usually provide a superior spatial resolution compared to the linear approaches but can result in artifacts due…

Cited by 0SourceScholar
2016

A low complexity weighted least squares narrowband DOA estimator for arbitrary array geometries

ICASSP 2016accepted

An increasing number of spatial filtering approaches requires narrowband direction-of-arrival (DOA) estimates. State-of-the-art (SOA) estimators such as root-MUSIC and ESPRIT are computationally complex and can be used only with specific array geometries. In this work, a low complexity DOA estimator…

Cited by 0SourceScholar
2015

A Bayesian approach to spatial filtering and diffuse power estimation for joint dereverberation and noise reduction

ICASSP 2015accepted

A spatial filter, with L linear constraints that are based on instantaneous narrowband direction-of-arrival (DOA) estimates, was recently proposed to obtain a desired spatial response for at most L sound sources. In noisy and reverberant environments, it becomes difficult to get reliable instantaneo…

Cited by 0SourceScholar