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Spectrogram of acoustic scene Show image information

Spectrogram of acoustic scene

2022

[73] Haitham Afifi, Holger Karl, Tobias Gburrek, and Joerg Schmalenstroeer. Data-driven time synchronization in wireless multimedia networks. In 2022 International Wireless Communications and Mobile Computing (IWCMC), pages 161–166, 2022.

[74] A. Chinaev and G. Enzner. Distributed synchronization for ad-hoc acoustic sensor networks using closed-loop double-cross-correlation processing. In Proc. of Int. Workshop on Acoust. Signal Enhancement (IWAENC 2022), Sep. 2022.

[75] Tobias Gburrek, Christoph Boeddeker, Thilo von Neumann, Tobias Cord-Landwehr, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. A meeting transcription system for an ad-hoc acoustic sensor network.  arxiv.2205.00944, 2022.

[76] Tobias Gburrek, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. On synchronization of wireless acoustic sensor networks in the presence of time-varying samping rate offsets and speaker changes. In International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.

[77] Tobias Gburrek, Joerg Schmalenstroeer, Jens Heitkaemper, and Reinhold Haeb-Umbach. Informed vs. blind beamforming in ad-hoc acoustic sensor networks for meeting transcription. In International Workshop on Acoustic Signal Enhancement (IWAENC), 2022.

2021

[53] Haitham Afifi, Fabian Jakob Sauer, and Holger Karl. Reinforcement learning for admission control in wireless virtual network embedding. In 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21), Hyderabad, India, December 2021.

[54] Haitham Afifi, Arunselvan Ramaswamy, and Holger Karl. Reinforcement learning for autonomous vehicle movements in wireless sensor networks. In 2021 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC’21 - IoTSN Symposium), Montreal, Canada, June 2021.

[55] Haitham Afifi, Arunselvan Ramaswamy, and Holger Karl. A reinforcement learning QoI/QoS-Aware approach in acoustic sensor networks. In 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2021), January 2021.

[56] Andreas Brendel and Walter Kellermann. Accelerating Auxiliary Function-Based Independent Vector Analysis. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 496–500, Toronto, ON, Canada, June 2021. IEEE.

[57] A. Chinaev, G. Enzner, T. Gburrek, and J. Schmalenstroeer. Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss. In Proc. Eur. Signal Process. Conf., pages 1110–1114, Aug. 2021.

[58] A. Chinaev, S. Wienand, and G. Enzner. Control Architecture of the Double-Cross-Correlation Processor for Sampling-Rate-Offset Estimation in Acoustic Sensor Networks. In Proc. IEEE Int. Conf. Acoust., Speech,
Signal Process., pages 801–805, June 2021.

[59] Aleksej Chinaev, Philipp Thuene, and Gerald Enzner. Double-Cross-Correlation Processing for Blind Sampling-Rate and Time-Offset Estimation. IEEE/ACM Transactions on Audio, Speech, and Language Process-
ing, 29:1881–1896, 2021.

[60] Janek Ebbers, Michael Kuhlmann, Tobias Cord-Landwehr, and Reinhold Haeb-Umbach. Contrastive predictive coding supported factorized variational autoencoder for unsupervised learning of disentangled speech
representations. In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3860–3864. IEEE, 2021.

[61] Tobias Gburrek, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. Geometry calibration in wireless acoustic sensor networks utilizing doa and distance information. EURASIP Journal on Audio, Speech, and Music Processing, 2021(1):1–17, 2021.

[62] Tobias Gburrek, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. Iterative geometry calibration from distance estimates for wireless acoustic sensor networks. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.

[63] Tobias Gburrek, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. On source-microphone distance estimation using convolutional recurrent neural networks. In ITG conference on Speech Communication, 2021.

[64] Michael Gunther, Haitham Afifi, Andreas Brendel, Holger Karl, and Walter Kellermann. Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 820–824, Toronto, ON, Canada, June 2021. IEEE.

[65] Thomas Haubner, Andreas Brendel, Mohamed Elminshawi, and Walter Kellermann. Noise-Robust Adaptation Control for Supervised Acoustic System Identification Exploiting a Noise Dictionary. In ICASSP 2021 -
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 945–949, Toronto, ON, Canada, June 2021. IEEE.

[66] Timm Koppelmann, Alexandru Nelus, Lea Schoenherr, Dorothea Kolossa, and Rainer Martin. Privacy-Preserving Feature Extraction for Cloud-Based Wake Word Verification. In Proc. Interspeech 2021, pages 876–880, 2021.

[67] Heinrich W. Lollmann, Andreas Brendel, and Walter Kellermann. Effective Rank-Based Estimation of the Coherent-to-Diffuse Power Ratio. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 955–959, Toronto, ON, Canada, June 2021. IEEE.

[68] Gabriel F Miller, Andreas Brendel, Walter Kellermann, and Sharon Gannot. Misalignment Recognition in Acoustic Sensor Networks Using a Semi-Supervised Source Estimation Method and Markov Random Fields. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 766–770, Toronto, ON, Canada, June 2021. IEEE.

[69] Alexandru Nelus, Rene Glitza, and Rainer Martin. Estimation of microphone clusters in acoustic sensor networks using unsupervised federated learning. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 761–765, 2021.

[70] Alexandru Nelus, Rene Glitza, and Rainer Martin. Estimation of microphone clusters in acoustic sensor networks using unsupervised federated learning. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.

[71] Alexandru Nelus, Rene Glitza, and Rainer Martin. Unsupervised clustered federated learning in complex multi-source acoustic environments. In EUSIPCO 2021, 2021.

[72] Alexandru Nelus and Rainer Martin. Privacy-preserving audio classification using variational information feature extraction. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29:2864–2877, 2021.

2020

[46] Haitham Afifi and Holger Karl. Reinforcement learning for virtual network embedding in wireless sensor networks. In 2020 Thirteenth International Workshop on Selected Topics in Mobile and Wireless Computing
(STWiMob’2020), Thessaloniki, Greece, October 2020.

[47] Luca Becker, Alexandru Nelus, Johannes Gauer, Lars Rudolph, and Rainer Martin. Audio feature extraction for vehicle engine noise classification. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 711–715, 2020.

[48] Andreas Brendel, Thomas Haubner, and Walter Kellermann. A Unified Probabilistic View on Spatially Informed Source Separation and Extraction Based on Independent Vector Analysis. IEEE Transactions on Signal Processing, 68:3545–3558, 2020.

[49] Andreas Brendel and Walter Kellermann. Eigenvalue Decomposition for Informed Source Extraction based on Independent Vector Analysis. In European Signal Processing Conference (EUSIPCO), Amsterdam, August 2020.

[50] Janek Ebbers and Reinhold Haeb-Umbach. Forward-backward convolutional recurrent neural networks and tag-conditioned convolutional neural networks for weakly labeled semi-supervised sound event detection.
In Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCASE2020), pages 41–45, Tokyo, Japan, November 2020.

[51] Rebecca Felsheim, Andreas Brendel, Patrick A. Naylor, and Walter Kellermann. Head Orientation Estimation from Multiple Microphone Arrays. In European Signal Processing Conference (EUSIPCO), Amsterdam, The Netherlands, August 2020.

[52] Tobias Gburrek, Joerg Schmalenstroeer, Andreas Brendel, Walter Kellermann, and Reinhold Haeb-Umbach. Deep neural network based distance estimation for geometry calibration in acoustic sensor network. In European Signal Processing Conference (EUSIPCO), 2020.

2019

[26] Haitham Afifi, Konrad Horbach, and Holger Karl. A genetic algorithm framework for solving wireless virtual network embedding. In 2019 International Conference on Wireless and Mobile Computing, Networking
and Communications (WiMob) (WiMob 2019), Barcelona, Spain, October 2019.

[27] Haitham Afifi and Holger Karl. An approximate power control algorithm for a Multi-Cast wireless virtual network embedding. In 2019 12th IFIP Wireless and Mobile Networking Conference (WMNC) (WMNC’19), Paris,
France, September 2019.

[28] Haitham Afifi and Holger Karl. Power allocation with a wireless multi-cast aware routing for virtual network embeddingg. In 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2019), Jan 2019.

[29] Haitham Afifi, Holger Karl, Sebastian Eikenberg, Arnold Mueller, Lars Gansel, Alexander Makejkin, Kai Hannemann, and Rafael Schellenberg. A rapid prototyping for wireless virtual network embedding using MAR-
VELO. In 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019), Marrakech, Morocco, April 2019.

[30] Andreas Brendel, Ingo Altmann, and Walter Kellermann. Acoustic Source Position Estimation based on Multi-Feature Gaussian Processes. In European Signal Processing Conference (EUSIPCO), A Coruna, Spain, September 2019.

[31] Andreas Brendel, Thomas Haubner, and Walter Kellermann. Spatially Guided Independent Vector Analysis. In IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Barcelona, Spain, October 2019.

[32] Andreas Brendel and Walter Kellermann. Distributed Source Localization in Acoustic Sensor Networks using the Coherent-to-Diffuse Power Ratio. IEEE Journal of Selected Topics in Signal Processing, 2019.

[33] Andreas Brendel, Bracha Laufer-Goldshtein, Sharon Gannot, and Walter Kellermann. Learning-based Acoustic Source Localization using Directional Spectra. In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Guadeloupe, West Indies, December 2019.

[34] Andreas Brendel, Bracha Laufer-Goldshtein, Sharon Gannot, Ronen Talmon, and Walter Kellermann. Localization of an Unknown Number of Speakers in Adverse Acoustic Conditions Using Reliability Information and Diarization. In IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Brighton, UK, October 2019.

[35] Andreas Brendel, Andy Regensky, and Walter Kellermann. Probabilistic modeling for learning-based distance estimation. In Proceedings of the 23rd International Congress on Acoustics, Aachen, Germany, September 2019.

[36] A. Chinaev, P. Thüne, and G. Enzner. A double-cross-correlation processor for blind sampling rate offset estimation in acoustic sensor networks. In Proc. IEEE Int. Conf. on Acoust., Speech and Signal Process. (ICASSP), May 2019.

[37] Janek Ebbers, Lukas Drude, Andreas Brendel, Walter Kellermann, and Haeb-Umbach Reinhold. Weakly supervised sound activity detection and event classification in acoustic sensor networks. In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Guadeloupe, West Indies, December 2019.

[38] Janek Ebbers and Reinhold Haeb-Umbach. Convolutional recurrent neural network and data augmentation for audio tagging with noisy labels and minimal supervision. In Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019), pages 64–68, New York University, NY, USA, October 2019.

[39] Michael Guenther, Haitham Afifi, Andreas Brendel, Holger Karl, and Walter Kellermann. Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, USA, 2019.

[40] Michael Guenther, Andreas Brendel, and Walter Kellermann. Signal features for estimating microphone utility for coherent signal processing. In Proceedings of the 23rd International Congress on Acoustics, Aachen, Germany, September 2019.

[41] Heinrich W. Loellmann, Andreas Brendel, and Walter Kellermann. Comparative study of single-channel algorithms for blind reverberation time estimation. In Proceedings of the 23rd International Congress on Acous-
tics, Aachen, Germany, September 2019.

[42] Alexandru Nelus, Janek Ebbers, Reinhold Haeb-Umbach, and Rainer Martin. Privacy-preserving variational information feature extraction for domestic activity monitoring versus speaker identification. In Proc. Inter-
speech 2019, 2019.

[43] Alexandru Nelus and Rainer Martin. Privacy-aware feature extraction for gender discrimination versus speaker identification. In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019.

[44] Alexandru Nelus, Silas Rech, Timm Koppelmann, Henrik Biermann, and Rainer Martin. Privacy-preserving siamese feature extraction for gender recognition versus speaker identification. In Proc. Interspeech 2019, 2019.

[45] Philipp Thüne and Gerald Enzner. Tracking theory of adaptive filters with input-output sampling rate offset. In Proc. of Europ. Sig. Process. Conf., September 2019.

2018

[8] Haitam Afifi, Joerg Schmalenstroeer, Joerg Ullmann, Reinhold Haeb-Umbach, and Holger Karl. MARVELO - a framework for signal processing in wireless acoustic sensor networks. In Proc. of ITG Fachtagung
Sprachkommunikation (Speech Communications), Oct. 2018.

[9] Haitham Afifi, Sébastien Auroux, and Holger Karl. MARVELO: wireless virtual network embedding for overlay graphs with loops. In 2018 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE
WCNC 2018), Barcelona, Spain, April 2018.

[10] Markus Bachmann, Andreas Brendel, and Walter Kellermann. Resource Allocation for Distributed Blind Source Separation. In 13th ITG Conference on Speech Communication, Oldenburg, Germany, October 2018.
[11] Andreas Brendel, Sharon Gannot, and Walter Kellermann. Localization of Multiple Simultaneously Active Speakers in an Acoustic Sensor Network. In IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Sheffield, UK, July 2018.

[12] Andreas Brendel, Chengyu Huang, and Walter Kellermann. STFT Bin Selection for Localization Algorithms based on the Sparsity of Speech Signal Spectra. In EURONOISE, Crete, Greece, May 2018.

[13] Andreas Brendel and Walter Kellermann. Distance Estimation of Acoustic Sources using the Coherent-to-Diffuse Power Ratio Based on Distributed Training. In IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), Tokyo, Japan, September 2018.

[14] Andreas Brendel and Walter Kellermann. Learning-based Acoustic Source Localization in Acoustic Sensor Networks using the Coherent-to-Diffuse Power Ratio. In European Signal Processing Conference (EUSIPCO), Rome, Italy, September 2018.

[15] Andreas Brendel and Walter Kellermann. Learning-Based Acoustic Source-Microphone Distance Estimation Using the Coherent-to-Diffuse Power Ratio. In IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Calgary, Canada, April 2018.

[16] Andreas Brendel and Walter Kellermann. Tracking of Multiple Sources in an Acoustic Sensor Network using an Extended Gaussian Mixture PHD Filter. In IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), July 2018.

[17] Aleksej Chinaev, Gerald Enzner, and Joerg Schmalenstroeer. Fast and accurate audio resampling for acoustic sensor networks by polyphase-Farrow filters with FFT realization. In Proc. of ITG Fachtagung Sprachkommunikation (Speech Communications), October 2018.

[18] Aleksej Chinaev, Philipp Thuene, and Gerald Enzner. Low-rate Farrow structure with discrete-lowpass and polynomial support for audio resampling. In Proc. of European Signal Processing Conference (EUSIPCO),
September 2018.

[19] Janek Ebbers, Jens Heitkaemper, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. Benchmarking neural network architectures for acoustic sensor networks. In Proc. of ITG Fachtagung Sprachkommunikation
(Speech Communications), Oct. 2018.

[20] Janek Ebbers, Alexandru Nelus, Rainer Martin, and Reinhold Haeb-Umbach. Evaluation of modulation-MFCC features and DNN classification for acoustic event detection. In Proc. 44. Jahrestagung fuer Akustik
(DAGA), March 2018.

[21] Heinrich W. Loellmann, Andreas Brendel, and Walter Kellermann. Efficient ML-Estimator for Blind Reverberation Time Estimation. In European Signal Processing Conference (EUSIPCO), Rome, Italy, September 2018.

[22] Alexandru Nelus and Rainer Martin. Gender discrimination versus speaker identification through privacy-aware adversarial feature extraction. In Speech Communication; 13. ITG Symposium; Proceedings of. VDE, 2018.

[23] Joerg Schmalenstroeer and Reinhold Haeb-Umbach. Efficient sampling rate offset compensation - an Overlap-Save based approach. In Proc. of European Signal Process. Conf., Sept. 2018.

[24] Joerg Schmalenstroeer and Reinhold Haeb-Umbach. Insights into the interplay of sampling rate offsets and mvdr beamforming. In Proc. of ITG Fachtagung Sprachkommunikation (Speech Communications), Oct. 2018.

[25] Philipp Thüne and Gerald Enzner. Maximum-likelihood and maximum-a-posteriori perspectives for blind channel identification on acoustic sensor network data. In Proc. of ITG Symp. Speech Comm., October 2018.

2017

[1] Thomas Haubner, Andreas Brendel, and Walter Kellermann. Online Supervised Acoustic System Identification Exploiting Prelearned Local Affine Subspace Models.

[2] Heinrich W. Loellmann, Andreas Brendel, and Walter Kellermann. Generalized Coherence-based Dereverberation. In IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Barcelona, Spain.

[3] Alexander Schmidt, Andreas Brendel, Thomas Haubner, and Walter Kellermann. Motor Data-regularized Nonnegative Matrix Factorization for Egonoise Suppression.

[4] Prerna Arora and Reinhold Haeb-Umbach. A study on transfer learning for acoustic event detection in a real life scenario. In IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), October 2017.

[5] Andreas Brendel and Walter Kellermann. Localization of multiple simultaneously active sources in acoustic sensor networks using ADP. In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pages 1–5, Curacao, Netherlands Antilles, December 2017.

[6] Alexandru Nelus, Sebastian Gergen, and Rainer Martin. Analysis of temporal aggregation and dimensionality reduction on feature sets for speaker identification in wireless acoustic sensor networks. In Multimedia Signal Processing (MMSP), 2017 IEEE 19th International Workshop on, pages 1–6. IEEE, 2017.

[7] Joerg Schmalenstroeer, Jahn Heymann, Lukas Drude, Christoph Boeddeker, and Reinhold Haeb-Umbach. Multi-stage coherence drift based sampling rate synchronization for acoustic beamforming. In IEEE 19th
International Workshop on Multimedia Signal Processing (MMSP), October 2017.