Kuhlmann M, Seebauer F, Ebbers J, Wagner P, Haeb-Umbach R. Investigation into Target Speaking Rate Adaptation for Voice Conversion. In: Interspeech 2022. ISCA; 2022. doi:10.21437/interspeech.2022-10740
LibreCat: /record/33857
DOI: 10.21437/interspeech.2022-10740

Gburrek T, Schmalenstroeer J, Heitkaemper J, Haeb-Umbach R. Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription. In: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE; 2022. doi:10.1109/IWAENC53105.2022.9914772
LibreCat: /record/33808
DOI: 10.1109/IWAENC53105.2022.9914772

Gburrek T, Boeddeker C, von Neumann T, Cord-Landwehr T, Schmalenstroeer J, Haeb-Umbach R. A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network. arXiv; 2022. doi:10.48550/ARXIV.2205.00944
LibreCat: /record/33816
DOI: 10.48550/ARXIV.2205.00944

Ebbers J, Haeb-Umbach R, Serizel R. Threshold Independent Evaluation of Sound Event Detection Scores. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2022.
LibreCat: /record/34072

Haeb-Umbach R, Heymann J, Drude L, Watanabe S, Delcroix M, Nakatani T. Far-Field Automatic Speech Recognition. Proceedings of the IEEE. 2021;109(2):124-148. doi:10.1109/JPROC.2020.3018668
LibreCat: /record/21065
DOI: 10.1109/JPROC.2020.3018668

Zhang W, Boeddeker C, Watanabe S, et al. End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021. doi:10.1109/icassp39728.2021.9414464
LibreCat: /record/28256
DOI: 10.1109/icassp39728.2021.9414464

Li C, Shi J, Zhang W, et al. ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for ASR Integration. In: 2021 IEEE Spoken Language Technology Workshop (SLT). ; 2021. doi:10.1109/slt48900.2021.9383615
LibreCat: /record/28262
DOI: 10.1109/slt48900.2021.9383615

Li C, Luo Y, Han C, et al. Dual-Path RNN for Long Recording Speech Separation. In: 2021 IEEE Spoken Language Technology Workshop (SLT). ; 2021. doi:10.1109/slt48900.2021.9383514
LibreCat: /record/28261
DOI: 10.1109/slt48900.2021.9383514

Heitkaemper J, Schmalenstroeer J, Ion V, Haeb-Umbach R. A Database for Research on Detection and Enhancement of Speech Transmitted over HF links. In: Speech Communication; 14th ITG-Symposium. ; 2021:1-5.
LibreCat: /record/24000

Boeddeker C, Rautenberg F, Haeb-Umbach R. A Comparison and Combination of Unsupervised Blind Source Separation  Techniques. In: ITG Conference on Speech Communication. ; 2021.
LibreCat: /record/44843
arXiv: 2106.05627

Boeddeker C, Zhang W, Nakatani T, et al. Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021. doi:10.1109/icassp39728.2021.9414661
LibreCat: /record/28259
DOI: 10.1109/icassp39728.2021.9414661

Schmalenstroeer J, Heitkaemper J, Ullmann J, Haeb-Umbach R. Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech. In: 29th European Signal Processing Conference (EUSIPCO). ; 2021:1-5.
LibreCat: /record/23998

Gburrek T, Schmalenstroeer J, Haeb-Umbach R. Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information. EURASIP Journal on Audio, Speech, and Music Processing. Published online 2021. doi:10.1186/s13636-021-00210-x
LibreCat: /record/22528
DOI: 10.1186/s13636-021-00210-x

Gburrek T, Schmalenstroeer J, Haeb-Umbach R. 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. doi:10.1109/icassp39728.2021.9413831
LibreCat: /record/23994
DOI: 10.1109/icassp39728.2021.9413831

Gburrek T, Schmalenstroeer J, Haeb-Umbach R. On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks. In: Speech Communication; 14th ITG-Symposium. ; 2021:1-5.
LibreCat: /record/23999

Chinaev A, Enzner G, Gburrek T, Schmalenstroeer J. Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss. In: 29th European Signal Processing Conference (EUSIPCO). ; 2021:1-5.
LibreCat: /record/23997

Ebbers J, Kuhlmann M, Cord-Landwehr T, Haeb-Umbach R. Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021:3860–3864.
LibreCat: /record/29304

von Neumann T, Kinoshita K, Boeddeker C, Delcroix M, Haeb-Umbach R. Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers. In: Interspeech 2021. ; 2021. doi:10.21437/interspeech.2021-1177
LibreCat: /record/26770
DOI: 10.21437/interspeech.2021-1177

von Neumann T, Boeddeker C, Kinoshita K, Delcroix M, Haeb-Umbach R. Speeding Up Permutation Invariant Training for Source Separation. In: Speech Communication; 14th ITG Conference. ; 2021.
LibreCat: /record/29173

Ebbers J, Haeb-Umbach R. Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments. In: Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCA). ; 2021:226–230.
LibreCat: /record/29308

Ebbers J, Keyser MC, Haeb-Umbach R. Adapting Sound Recognition to A New Environment Via Self-Training. In: Proceedings of the 29th European Signal Processing Conference (EUSIPCO). ; 2021:1135–1139.
LibreCat: /record/29306

Rohlfing KJ, Cimiano P, Scharlau I, et al. Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems. 2021;13(3):717-728. doi:10.1109/tcds.2020.3044366
LibreCat: /record/24456
DOI: 10.1109/tcds.2020.3044366

Haeb-Umbach R. Sprachtechnologien für Digitale Assistenten. In: Böck R, Siegert I, Wendemuth A, eds. Studientexte Zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020. TUDpress, Dresden; 2020:227-234.
LibreCat: /record/17763

Boeddeker C, Nakatani T, Kinoshita K, Haeb-Umbach R. Jointly Optimal Dereverberation and Beamforming. In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2020. doi:10.1109/icassp40776.2020.9054393
LibreCat: /record/20695
DOI: 10.1109/icassp40776.2020.9054393

Boeddeker C, Cord-Landwehr T, Heitkaemper J, et al. Towards a speaker diarization system for the CHiME 2020 dinner party transcription. In: Proc. CHiME 2020 Workshop on Speech Processing in Everyday Environments. ; 2020.
LibreCat: /record/20700

Nakatani T, Boeddeker C, Kinoshita K, Ikeshita R, Delcroix M, Haeb-Umbach R. Jointly optimal denoising, dereverberation, and source separation. IEEE/ACM Transactions on Audio, Speech, and Language Processing. Published online 2020:1-1. doi:10.1109/TASLP.2020.3013118
LibreCat: /record/17598
DOI: 10.1109/TASLP.2020.3013118

Heitkaemper J, Jakobeit D, Boeddeker C, Drude L, Haeb-Umbach R. Demystifying TasNet: A Dissecting Approach. In: ICASSP 2020 Virtual Barcelona Spain. ; 2020.
LibreCat: /record/20504

Watanabe S, Mandel M, Barker J, et al. CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for  Unsegmented Recordings. arXiv:200409249. Published online 2020.
LibreCat: /record/28263

Heitkaemper J, Schmalenstroeer J, Haeb-Umbach R. Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments. In: INTERSPEECH 2020 Virtual Shanghai China. ; 2020.
LibreCat: /record/20505

von Neumann T, Kinoshita K, Drude L, et al. End-to-End Training of Time Domain Audio Separation and Recognition. In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2020:7004-7008. doi:10.1109/ICASSP40776.2020.9053461
LibreCat: /record/20762
DOI: 10.1109/ICASSP40776.2020.9053461

von Neumann T, Boeddeker C, Drude L, et al. Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR. In: Proc. Interspeech 2020. ; 2020:3097-3101. doi:10.21437/Interspeech.2020-2519
LibreCat: /record/20764
DOI: 10.21437/Interspeech.2020-2519

Gburrek T, Schmalenstroeer J, Brendel A, Kellermann W, Haeb-Umbach R. Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network. In: European Signal Processing Conference (EUSIPCO). ; 2020.
LibreCat: /record/18651

Kinoshita K, von Neumann T, Delcroix M, Nakatani T, Haeb-Umbach R. Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation. In: Proc. Interspeech 2020. ; 2020:2652-2656. doi:10.21437/Interspeech.2020-2388
LibreCat: /record/20766
DOI: 10.21437/Interspeech.2020-2388

Ebbers J, Haeb-Umbach R. 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 (DCA). ; 2020.
LibreCat: /record/20753

Haeb-Umbach R. Lektionen für Alexa \'26; Co?! forschung. 2019;44(1):12-15. doi:10.1002/fors.201970104
LibreCat: /record/17762
DOI: 10.1002/fors.201970104

Drude L, Heitkaemper J, Boeddeker C, Haeb-Umbach R. SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition. ArXiv e-prints. 2019.
LibreCat: /record/19446

Drude L, Heymann J, Haeb-Umbach R. Unsupervised training of neural mask-based beamforming. In: INTERSPEECH 2019, Graz, Austria. ; 2019.
LibreCat: /record/11965

Drude L, Hasenklever D, Haeb-Umbach R. Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation. In: ICASSP 2019, Brighton, UK. ; 2019.
LibreCat: /record/12874

Heymann J, Drude L, Haeb-Umbach R, Kinoshita K, Nakatani T. Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. In: ICASSP 2019, Brighton, UK. ; 2019.
LibreCat: /record/12875

Kurz G, Gilitschenski I, Pfaff F, et al. Directional Statistics and Filtering Using libDirectional. In: Journal of Statistical Software 89(4). ; 2019.
LibreCat: /record/12876

Drude L, Haeb-Umbach R. Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. IEEE Journal of Selected Topics in Signal Processing. 2019. doi:10.1109/JSTSP.2019.2912565
LibreCat: /record/12890
DOI: 10.1109/JSTSP.2019.2912565

Heymann J, Khe Chai Sim BL. Improving CTC Using Stimulated Learning for Sequence Modeling. In: ICASSP 2019, Brighton, UK. ; 2019.
LibreCat: /record/15812

Zorila C, Boeddeker C, Doddipatla R, Haeb-Umbach R. An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription. In: ASRU 2019, Sentosa, Singapore. ; 2019.
LibreCat: /record/15816

Heitkaemper J, Feher T, Freitag M, Haeb-Umbach R. A Study on Online Source Extraction in the Presence of Changing Speaker Positions. In: International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia. ; 2019.
LibreCat: /record/14822

Martin-Donas JM, Heitkaemper J, Haeb-Umbach R, Gomez AM, Peinado AM. Multi-Channel Block-Online Source Extraction based on Utterance Adaptation. In: INTERSPEECH 2019, Graz, Austria. ; 2019.
LibreCat: /record/14824

Kanda N, Boeddeker C, Heitkaemper J, Fujita Y, Horiguchi S, Haeb-Umbach R. Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. In: INTERSPEECH 2019, Graz, Austria. ; 2019.
LibreCat: /record/14826

von Neumann T, Kinoshita K, Delcroix M, Araki S, Nakatani T, Haeb-Umbach R. All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis. In: ICASSP 2019, Brighton, UK. ; 2019.
LibreCat: /record/13271

Haeb-Umbach R, Watanabe S, Nakatani T, et al. Speech Processing for Digital Home Assistance: Combining Signal Processing With Deep-Learning Techniques. IEEE Signal Processing Magazine. 2019;36(6):111-124. doi:10.1109/MSP.2019.2918706
LibreCat: /record/15814
DOI: 10.1109/MSP.2019.2918706

Haeb-Umbach R. Lektionen für Alexa &; Co?! DFG forschung 1/2019. Published online 2019:12-15. doi:10.1002/fors.201970104
LibreCat: /record/19450
DOI: 10.1002/fors.201970104

Gburrek T, Glarner T, Ebbers J, Haeb-Umbach R, Wagner P. Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. In: Proc. 10th ISCA Speech Synthesis Workshop. ; 2019:81-86. doi:10.21437/SSW.2019-15
LibreCat: /record/15237
DOI: 10.21437/SSW.2019-15

Ebbers J, Haeb-Umbach R. Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. In: DCA Workshop, New York, USA. ; 2019.
LibreCat: /record/15794

Ebbers J, Drude L, Haeb-Umbach R, Brendel A, Kellermann W. Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. In: CAMSAP 2019, Guadeloupe, West Indies. ; 2019.
LibreCat: /record/15796

Nelus A, Ebbers J, Haeb-Umbach R, Martin R. Privacy-preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification. In: INTERSPEECH 2019, Graz, Austria. ; 2019.
LibreCat: /record/15792

Heymann J, Bacchiani M, Sainath TN. Performance of Mask Based Statistical Beamforming in a Smart Home Scenario. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2018:6722-6726. doi:10.1109/ICASSP.2018.8462372
LibreCat: /record/18107
DOI: 10.1109/ICASSP.2018.8462372

Ebbers J, Nelus A, Martin R, Haeb-Umbach R. Evaluation of Modulation-MFCC Features and DNN Classification for Acoustic Event Detection. In: DAGA 2018, München. ; 2018.
LibreCat: /record/11760

Heymann J, Drude L, Haeb-Umbach R, Kinoshita K, Nakatani T. Frame-Online DNN-WPE Dereverberation. In: IWAENC 2018, Tokio, Japan. ; 2018.
LibreCat: /record/11835

Heitkaemper J, Heymann J, Haeb-Umbach R. Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming. In: ITG 2018, Oldenburg, Germany. ; 2018.
LibreCat: /record/11837

Drude L, Boeddeker C, Heymann J, et al. Integration neural network based beamforming and weighted prediction error dereverberation. In: INTERSPEECH 2018, Hyderabad, India. ; 2018.
LibreCat: /record/11872

Drude L, Heymann J, Boeddeker C, Haeb-Umbach R. NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing. In: ITG 2018, Oldenburg, Germany. ; 2018.
LibreCat: /record/11873

Despotovic V, Walter O, Haeb-Umbach R. Machine learning techniques for semantic analysis of dysarthric speech: An experimental study. Speech Communication 99 (2018) 242-251 (Elsevier BV). 2018.
LibreCat: /record/11916

Drude L, von Neumann T, Haeb-Umbach R. Deep Attractor Networks for Speaker Re-Identifikation and Blind Source Separation. In: ICASSP 2018, Calgary, Canada. ; 2018.
LibreCat: /record/12898

Drude L, Higuchi,  Takuya , Kinoshita K, Nakatani T, Haeb-Umbach R. Dual Frequency- and Block-Permutation Alignment for Deep Learning Based Block-Online Blind Source Separation. In: ICASSP 2018, Calgary, Canada. ; 2018.
LibreCat: /record/12900

Boeddeker C, Erdogan H, Yoshioka T, Haeb-Umbach R. Exploring Practical Aspects of Neural Mask-Based Beamforming for Far-Field Speech Recognition. In: ICASSP 2018, Calgary, Canada. ; 2018.
LibreCat: /record/12901

Watanabe S, Hori T, Karita S, et al. ESPnet: End-to-End Speech Processing Toolkit. In: INTERSPEECH 2018, Hyderabad, India. ; 2018:2207–2211. doi:10.21437/Interspeech.2018-1456
LibreCat: /record/29923
DOI: 10.21437/Interspeech.2018-1456

Boeddeker C, Heitkaemper J, Schmalenstroeer J, Drude L, Heymann J, Haeb-Umbach R. Front-End Processing for the CHiME-5 Dinner Party Scenario. In: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India. ; 2018.
LibreCat: /record/12899

Afifi H, Schmalenstroeer J, Ullmann J, Haeb-Umbach R, Karl H. MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks. In: Speech Communication; 13th ITG-Symposium. ; 2018:1-5.
LibreCat: /record/6859

Grimm C, Breddermann T, Farhoud R, Fei T, Warsitz E, Haeb-Umbach R. Discrimination of Stationary from Moving Targets with Recurrent Neural Networks in Automotive Radar. In: International Conference on Microwaves for Intelligent Mobility (ICMIM) 2018. ; 2018.
LibreCat: /record/11747

Glarner T, Hanebrink P, Ebbers J, Haeb-Umbach R. Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. In: INTERSPEECH 2018, Hyderabad, India. ; 2018.
LibreCat: /record/11907

Schmalenstroeer J, Haeb-Umbach R. Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach. In: 26th European Signal Processing Conference (EUSIPCO 2018). ; 2018.
LibreCat: /record/11838

Kitza M, Michel W, Boeddeker C, et al. The RWTH/UPB System Combination for the CHiME 2018 Workshop. In: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India. ; 2018.
LibreCat: /record/11876

Ebbers J, Heitkaemper J, Schmalenstroeer J, Haeb-Umbach R. Benchmarking Neural Network Architectures for Acoustic Sensor Networks. In: ITG 2018, Oldenburg, Germany. ; 2018.
LibreCat: /record/11836

Schmalenstroeer J, Haeb-Umbach R. Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming. In: ITG 2018, Oldenburg, Germany. ; 2018.
LibreCat: /record/11839

Arora P, Haeb-Umbach R. A Study on Transfer Learning for Acoustic Event Detection in a Real Life Scenario. In: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP). ; 2017.
LibreCat: /record/11717

Boeddeker C, Hanebrink P, Drude L, Heymann J, Haeb-Umbach R. On the Computation of Complex-Valued Gradients with Application to Statistically Optimum Beamforming.; 2017.
LibreCat: /record/11735

Boeddeker C, Hanebrink P, Drude L, Heymann J, Haeb-Umbach R. Optimizing Neural-Network Supported Acoustic Beamforming by Algorithmic Differentiation. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2017.
LibreCat: /record/11736

Chinaev A, Haeb-Umbach R. A Generalized Log-Spectral Amplitude Estimator for Single-Channel Speech Enhancement. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2017.
LibreCat: /record/11737

Drude L, Haeb-Umbach R. Tight integration of spatial and spectral features for BSS with Deep Clustering embeddings. In: INTERSPEECH 2017, Stockholm, Schweden. ; 2017.
LibreCat: /record/11754

Glarner T, Boenninghoff B, Walter O, Haeb-Umbach R. Leveraging Text Data for Word Segmentation for Underresourced Languages. In: INTERSPEECH 2017, Stockholm, Schweden. ; 2017.
LibreCat: /record/11770

Heymann J, Drude L, Boeddeker C, Hanebrink P, Haeb-Umbach R. BEAMNET: End-to-End Training of a Beamformer-Supported Multi-Channel ASR System. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2017.
LibreCat: /record/11809

Heymann J, Drude L, Haeb-Umbach R. A Generic Neural Acoustic Beamforming Architecture for Robust Multi-Channel Speech Processing. Computer Speech and Language. 2017.
LibreCat: /record/11811

Jacob F, Schmalenstroeer J. Building or Enclosure Termination Closing and/or Opening Apparatus, and Method for Operating a Building or Enclosure Termination. 2017.
LibreCat: /record/12081

Fei T, Grimm C, Farhoud R, Breddermann T, Warsitz E, Haeb-Umbach R. A Novel Target Separation Algorithm Applied to The Two-Dimensional Spectrum for FMCW Automotive Radar Systems. In: IEEE International Conference on Microwave, Communications, Anthenas and Electronic Systems. ; 2017.
LibreCat: /record/11763

Grimm C, Breddermann T, Farhoud R, Fei T, Warsitz E, Haeb-Umbach R. Hypothesis Test for the Detection of Moving Targets in Automotive Radar. In: IEEE International Conference on Microwave, Communications, Anthenas and Electronic Systems (COMCAS). ; 2017.
LibreCat: /record/11772

Ebbers J, Heymann J, Drude L, Glarner T, Haeb-Umbach R, Raj B. Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. In: INTERSPEECH 2017, Stockholm, Schweden. ; 2017.
LibreCat: /record/11759

Schmalenstroeer J, Heymann J, Drude L, Boeddeker C, Haeb-Umbach R. Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming. In: IEEE 19th International Workshop on Multimedia Signal Processing (MMSP). ; 2017.
LibreCat: /record/11895

Grimm C, Farhoud R, Fei T, Warsitz E, Haeb-Umbach R. Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information. In: IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS). ; 2017.
LibreCat: /record/11773

Chinaev A, Haeb-Umbach R. A Priori SNR Estimation Using a Generalized Decision Directed Approach. In: INTERSPEECH 2016, San Francisco, USA. ; 2016.
LibreCat: /record/11738

Chinaev A, Heitkaemper J, Haeb-Umbach R. A Priori SNR Estimation Using Weibull Mixture Model. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016). ; 2016.
LibreCat: /record/11743

Chinaev A, Heymann J, Drude L, Haeb-Umbach R. Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016). ; 2016.
LibreCat: /record/11744

Drude L, Boeddeker C, Haeb-Umbach R. Blind Speech Separation based on Complex Spherical k-Mode Clustering. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2016.
LibreCat: /record/11751

Drude L, Raj B, Haeb-Umbach R. On the appropriateness of complex-valued neural networks for speech enhancement. In: INTERSPEECH 2016, San Francisco, USA. ; 2016.
LibreCat: /record/11756

Glarner T, Mahdi Momenzadeh M, Drude L, Haeb-Umbach R. Factor Graph Decoding for Speech Presence Probability Estimation. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016). ; 2016.
LibreCat: /record/11771

Heymann J, Drude L, Haeb-Umbach R. Neural Network Based Spectral Mask Estimation for Acoustic Beamforming. In: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP). ; 2016.
LibreCat: /record/11812

Jacob F, Haeb-Umbach R. On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays. In: 12. ITG Fachtagung Sprachkommunikation (ITG 2016). ; 2016.
LibreCat: /record/11829

Heymann J, Drude L, Haeb-Umbach R. Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition. In: Computer Speech and Language. ; 2016.
LibreCat: /record/11834

Kinoshita K, Delcroix M, Gannot S, et al. A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research. EURASIP Journal on Advances in Signal Processing. 2016.
LibreCat: /record/11840

Plinge A, Jacob F, Haeb-Umbach R, Fink GA. Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms. IEEE Signal Processing Magazine. 2016;33(4):14-29. doi:10.1109/MSP.2016.2555198
LibreCat: /record/11886
DOI: 10.1109/MSP.2016.2555198

Menne T, Heymann J, Alexandridis A, et al. The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation. In: Computer Speech and Language. ; 2016.
LibreCat: /record/11908

Walter O, Haeb-Umbach R. Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models. In: 38th German Conference on Pattern Recognition (GCPR 2016). ; 2016.
LibreCat: /record/11920

Schmalenstroeer J, Haeb-Umbach R. Investigations into Bluetooth Low Energy Localization Precision Limits. In: 24th European Signal Processing Conference (EUSIPCO 2016). ; 2016.
LibreCat: /record/11890