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

Chinaev A, Haeb-Umbach R. On Optimal Smoothing in Minimum Statistics Based Noise Tracking. In: Interspeech 2015. ; 2015:1785-1789.
LibreCat: /record/11739

Despotovic V, Walter O, Haeb-Umbach R. Semantic Analysis of Spoken Input using Markov Logic Networks. In: INTERSPEECH 2015. ; 2015.
LibreCat: /record/11748

Drude L, Jacob F, Haeb-Umbach R. DOA-Estimation based on a Complex Watson Kernel Method. In: 23th European Signal Processing Conference (EUSIPCO 2015). ; 2015.
LibreCat: /record/11755

Heymann J, Drude L, Chinaev A, Haeb-Umbach R. BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge. In: Automatic Speech Recognition and Understanding Workshop (ASRU 2015). ; 2015.
LibreCat: /record/11810

Heymann J, Haeb-Umbach R, Golik P, Schlueter R. Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. In: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On. ; 2015:5053-5057. doi:10.1109/ICASSP.2015.7178933
LibreCat: /record/11813
DOI: 10.1109/ICASSP.2015.7178933

Jacob F, Haeb-Umbach R. Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. ArXiv e-prints. 2015.
LibreCat: /record/11830

Li J, Deng L, Haeb-Umbach R, Gong Y. Robust Automatic Speech Recognition. Elsevier; 2015.
LibreCat: /record/11868

Marchi E, Schuller B, Baron-Cohen S, et al. Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages. In: INTERSPEECH 2015. ; 2015.
LibreCat: /record/11875

Walter O, Drude L, Haeb-Umbach R. Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model. In: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015). ; 2015.
LibreCat: /record/11919

Walter O, Haeb-Umbach R, Mokbel B, Paassen B, Hammer B. Autonomous Learning of Representations. KI - Kuenstliche Intelligenz. 2015:1-13. doi:http://dx.doi.org/10.1007/s13218-015-0372-1
LibreCat: /record/11922
DOI: http://dx.doi.org/10.1007/s13218-015-0372-1

Walter O, Haeb-Umbach R, Strunk J, P. Himmelmann N. Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01).; 2015.
LibreCat: /record/11923

Hoang MK, Schmalenstroeer J, Haeb-Umbach R. Aligning training models with smartphone properties in WiFi fingerprinting based indoor localization. In: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015). ; 2015.
LibreCat: /record/11874

Chinaev A, Puels M, Haeb-Umbach R. Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR. In: 11. ITG Fachtagung Sprachkommunikation (ITG 2014). ; 2014.
LibreCat: /record/11746

Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models. In: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). ; 2014.
LibreCat: /record/11752

Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models. In: 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014). ; 2014:213-217.
LibreCat: /record/11753

Heymann J, Walter O, Haeb-Umbach R, Raj B. Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices. In: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). ; 2014.
LibreCat: /record/11814

Jacob F, Haeb-Umbach R. Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking. In: 11. ITG Fachtagung Sprachkommunikation (ITG 2014). ; 2014.
LibreCat: /record/11831

Leutnant V, Krueger A, Haeb-Umbach R. A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2014;22(1):95-109. doi:10.1109/TASLP.2013.2285480
LibreCat: /record/11861
DOI: 10.1109/TASLP.2013.2285480

Li J, Deng L, Gong Y, Haeb-Umbach R. An Overview of Noise-Robust Automatic Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing. 2014;22(4):745-777. doi:10.1109/TASLP.2014.2304637
LibreCat: /record/11867
DOI: 10.1109/TASLP.2014.2304637

Walter O, Despotovic V, Haeb-Umbach R, Gemmeke J, Ons B, Van hamme H. An Evaluation of Unsupervised Acoustic Model Training for a Dysarthric Speech Interface. In: INTERSPEECH 2014. ; 2014.
LibreCat: /record/11918

Schmalenstroeer J, Jebramcik P, Haeb-Umbach R. A combined hardware-software approach for acoustic sensor network synchronization . Signal Processing. 2014;(0). doi:http://dx.doi.org/10.1016/j.sigpro.2014.06.030
LibreCat: /record/11898
DOI: http://dx.doi.org/10.1016/j.sigpro.2014.06.030

Schmalenstroeer J, Jebramcik P, Haeb-Umbach R. A Gossiping Approach to Sampling Clock Synchronization in Wireless Acoustic Sensor Networks. In: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). ; 2014.
LibreCat: /record/11897

Schmalenstroeer J, Zhao W, Haeb-Umbach R. Online Observation Error Model Estimation for Acoustic Sensor Network Synchronization. In: 11. ITG Fachtagung Sprachkommunikation (ITG 2014). ; 2014.
LibreCat: /record/11903

Abdelaziz AH, Zeiler S, Kolossa D, Leutnant V, Haeb-Umbach R. GMM-based significance decoding. In: Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference On. ; 2013:6827-6831. doi:10.1109/ICASSP.2013.6638984
LibreCat: /record/11716
DOI: 10.1109/ICASSP.2013.6638984

Chinaev A, Haeb-Umbach R. MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations. In: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013). ; 2013:3352-3356. doi:10.1109/ICASSP.2013.6638279
LibreCat: /record/11740
DOI: 10.1109/ICASSP.2013.6638279

Chinaev A, Haeb-Umbach R, Taghia J, Martin R. Improved Single-Channel Nonstationary Noise Tracking by an Optimized MAP-based Postprocessor. In: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013). ; 2013:7477-7481. doi:10.1109/ICASSP.2013.6639116
LibreCat: /record/11742
DOI: 10.1109/ICASSP.2013.6639116

Enzner G, Schmid D, Haeb-Umbach R. On the Acoustic Channel Identification in Multi-Microphone Systems via Adaptive Blind Signal Enhancement Techniques. In: 21th European Signal Processing Conference (EUSIPCO 2013). ; 2013.
LibreCat: /record/11762

Heymann J, Walter O, Haeb-Umbach R, Raj B. Unsupervised Word Segmentation from Noisy Input. In: Automatic Speech Recognition and Understanding Workshop (ASRU 2013). ; 2013.
LibreCat: /record/11815

Hoang MK, Haeb-Umbach R. Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning. In: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013). ; 2013:3721-3725. doi:10.1109/ICASSP.2013.6638353
LibreCat: /record/11816
DOI: 10.1109/ICASSP.2013.6638353

Kinoshita K, Delcroix M, Yoshioka T, et al. The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech. In:  IEEE Workshop on Applications of Signal Processing to Audio and Acoustics . ; 2013:22-23.
LibreCat: /record/11841