Andreas Brendel

About Andreas Brendel

Andreas Brendel, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Friedrich-Alexander-Universität Erlangen-Nürnberg, specializes in the field of Machine Learning, Deep Generative Models, Statistical Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Apparatus for determining spatial positions of multiple audio sources

Geometrically constrained source extraction and dereverberation based on joint optimization

Microphone utility estimation in acoustic sensor networks using single-channel signal features

Spatially informed independent vector analysis for source extraction based on the convolutive transfer function model

A unifying view on blind source separation of convolutive mixtures based on independent component analysis

End-to-End Deep Learning-Based Adaptation Control for Linear Acoustic Echo Cancellation

Manifold learning-supported estimation of relative transfer functions for spatial filtering

Audio processing apparatus and method for localizing an audio source

Andreas Brendel Information

University

Position

___

Citations(all)

375

Citations(since 2020)

350

Cited By

131

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

14

i10Index(since 2020)

13

Email

University Profile Page

Friedrich-Alexander-Universität Erlangen-Nürnberg

Google Scholar

View Google Scholar Profile

Andreas Brendel Skills & Research Interests

Machine Learning

Deep Generative Models

Statistical Signal Processing

Top articles of Andreas Brendel

Title

Journal

Author(s)

Publication Date

Apparatus for determining spatial positions of multiple audio sources

2024/3/5

Geometrically constrained source extraction and dereverberation based on joint optimization

Yichen Yang

Xianrui Wang

Andreas Brendel

Wen Zhang

Walter Kellermann

...

2023/9/4

Microphone utility estimation in acoustic sensor networks using single-channel signal features

EURASIP Journal on Audio, Speech, and Music Processing

Michael Günther

Andreas Brendel

Walter Kellermann

2023/8/3

Spatially informed independent vector analysis for source extraction based on the convolutive transfer function model

Xianrui Wang

Andreas Brendel

Gongping Huang

Yichen Yang

Walter Kellermann

...

2023/6/4

A unifying view on blind source separation of convolutive mixtures based on independent component analysis

IEEE Transactions on Signal Processing

Andreas Brendel

Thomas Haubner

Walter Kellermann

2023/3/13

End-to-End Deep Learning-Based Adaptation Control for Linear Acoustic Echo Cancellation

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Thomas Haubner

Andreas Brendel

Walter Kellermann

2023/10/19

Manifold learning-supported estimation of relative transfer functions for spatial filtering

Andreas Brendel

Johannes Zeitler

Walter Kellermann

2022/5/23

Audio processing apparatus and method for localizing an audio source

2022/2/17

Online acoustic system identification exploiting Kalman filtering and an adaptive impulse response subspace model

Journal of Signal Processing Systems

Thomas Haubner

Andreas Brendel

Walter Kellermann

2022/2

From blind to semi-blind acoustic source separation based on independent component analysis

Andreas Brendel

2022

A bilinear framework for adaptive speech dereverberation combining beamforming and linear prediction

Wenxing Yang

Gongping Huang

Andreas Brendel

Jingdong Chen

Jacob Benesty

...

2022/9/5

Network-aware optimal microphone channel selection in wireless acoustic sensor networks

Michael Gunther

Haitham Afifi

Andreas Brendel

Holger Karl

Walter Kellermann

2021/6/6

Head orientation estimation from multiple microphone arrays

Rebecca C Felsheim

Andreas Brendel

Patrick A Naylor

Walter Kellermann

2021/1/18

Microphone utility-based weighting for robust acoustic source localization in wireless acoustic sensor networks

Michael Guenther

Andreas Brendel

Walter Kellermann

2021/9/29

Misalignment recognition in acoustic sensor networks using a semi-supervised source estimation method and markov random fields

Gabriel F Miller

Andreas Brendel

Walter Kellermann

Sharon Gannot

2021/6/6

Deep neural network based distance estimation for geometry calibration in acoustic sensor networks

Tobias Gburrek

Joerg Schmalenstroeer

Andreas Brendel

Walter Kellermann

Reinhold Haeb-Umbach

2021/1/18

Reinforcement Learning-based Microphone Selection inWireless Acoustic Sensor Networks Considering Network and Acoustic Utilities

Haitham Afifi

Michael Guenther

Andreas Brendel

Holger Karl

Walter Kellermann

2021/9/29

Accelerating auxiliary function-based independent vector analysis

Andreas Brendel

Walter Kellermann

2021/6/6

Online estimation of time-variant microphone utility in wireless acoustic sensor networks using single-channel signal features

Michael Günther

Andreas Brendel

Walter Kellermann

2021/8/23

A synergistic kalman-and deep postfiltering approach to acoustic echo cancellation

Thomas Haubner

Mhd Modar Halimeh

Andreas Brendel

Walter Kellermann

2021/8/23

See List of Professors in Andreas Brendel University(Friedrich-Alexander-Universität Erlangen-Nürnberg)

Co-Authors

H-index: 52
Sharon Gannot

Sharon Gannot

Bar-Ilan University

H-index: 48
Walter Kellermann

Walter Kellermann

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 46
Holger Karl

Holger Karl

Universität Paderborn

H-index: 45
Reinhold Haeb-Umbach

Reinhold Haeb-Umbach

Universität Paderborn

H-index: 42
Nobutaka Ono

Nobutaka Ono

Tokyo Metropolitan University

H-index: 31
Ronen Talmon

Ronen Talmon

Technion - Israel Institute of Technology

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