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305 Publications


2013 | Conference Paper | LibreCat-ID: 11740 | OA
Chinaev, A., & Haeb-Umbach, R. (2013). 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) (pp. 3352–3356). https://doi.org/10.1109/ICASSP.2013.6638279
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2013 | Conference Paper | LibreCat-ID: 11742 | OA
Chinaev, A., Haeb-Umbach, R., Taghia, J., & Martin, R. (2013). Improved Single-Channel Nonstationary Noise Tracking by an Optimized MAP-based Postprocessor. In 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) (pp. 7477–7481). https://doi.org/10.1109/ICASSP.2013.6639116
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2013 | Conference Paper | LibreCat-ID: 11762 | OA
Enzner, G., Schmid, D., & Haeb-Umbach, R. (2013). On the Acoustic Channel Identification in Multi-Microphone Systems via Adaptive Blind Signal Enhancement Techniques. In 21th European Signal Processing Conference (EUSIPCO 2013).
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2013 | Conference Paper | LibreCat-ID: 11815 | OA
Heymann, J., Walter, O., Haeb-Umbach, R., & Raj, B. (2013). Unsupervised Word Segmentation from Noisy Input. In Automatic Speech Recognition and Understanding Workshop (ASRU 2013).
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2013 | Conference Paper | LibreCat-ID: 11816 | OA
Hoang, M. K., & Haeb-Umbach, R. (2013). 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) (pp. 3721–3725). https://doi.org/10.1109/ICASSP.2013.6638353
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2013 | Conference Paper | LibreCat-ID: 11841 | OA
Kinoshita, K., Delcroix, M., Yoshioka, T., Nakatani, T., Habets, E., Haeb-Umbach, R., … Raj, B. (2013). 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 (pp. 22–23).
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2013 | Journal Article | LibreCat-ID: 11862
Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2013). Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 21(8), 1640–1652. https://doi.org/10.1109/TASL.2013.2258013
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2013 | Conference Paper | LibreCat-ID: 11909 | OA
Tran Vu, D. H., & Haeb-Umbach, R. (2013). Blind Speech Separation Exploiting Temporal and Spectral Correlations Using Turbo Decoding of 2D-HMMs. In 21th European Signal Processing Conference (EUSIPCO 2013).
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2013 | Conference Paper | LibreCat-ID: 11917
Vu, D. H. T., & Haeb-Umbach, R. (2013). Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation. In 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) (pp. 863–867). https://doi.org/10.1109/ICASSP.2013.6637771
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2013 | Conference Paper | LibreCat-ID: 11921 | OA
Walter, O., Haeb-Umbach, R., Chaudhuri, S., & Raj, B. (2013). Unsupervised Word Discovery from Phonetic Input Using Nested Pitman-Yor Language Modeling. In IEEE International Conference on Robotics and Automation (ICRA 2013).
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2013 | Conference Paper | LibreCat-ID: 11924 | OA
Walter, O., Korthals, T., Haeb-Umbach, R., & Raj, B. (2013). Hierarchical System for Word Discovery Exploiting DTW-Based Initialization. In Automatic Speech Recognition and Understanding Workshop (ASRU 2013).
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2013 | Report | LibreCat-ID: 11926 | OA
Walter, O., Schmalenstroeer, J., & Haeb-Umbach, R. (2013). A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01).
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2013 | Conference Paper | LibreCat-ID: 11832 | OA
Jacob, F., Schmalenstroeer, J., & Haeb-Umbach, R. (2013). DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic. 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 116–120. https://doi.org/10.1109/ICASSP.2013.6637620
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2013 | Conference Paper | LibreCat-ID: 11891 | OA
Schmalenstroeer, J., & Haeb-Umbach, R. (2013). Sampling Rate Synchronisation in Acoustic Sensor Networks with a Pre-Trained Clock Skew Error Model. 21th European Signal Processing Conference (EUSIPCO 2013).
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2013 | Conference Paper | LibreCat-ID: 11818 | OA
Hoang, M. K., Schmitz, S., Drueke, C., Vu, D. H. T., Schmalenstroeer, J., & Haeb-Umbach, R. (2013). Server based indoor navigation using RSSI and inertial sensor information. Positioning Navigation and Communication (WPNC), 2013 10th Workshop On, 1–6. https://doi.org/10.1109/WPNC.2013.6533263
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2013 | Conference Paper | LibreCat-ID: 11817 | OA
Hoang, M. K., Schmalenstroeer, J., Drueke, C., Tran Vu, D. H., & Haeb-Umbach, R. (2013). A Hidden Markov Model for Indoor User Tracking Based on WiFi Fingerprinting and Step Detection. 21th European Signal Processing Conference (EUSIPCO 2013).
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2012 | Conference Paper | LibreCat-ID: 11741 | OA
Chinaev, A., & Haeb-Umbach, R. (2012). Quality Analysis and Optimization of the MAP-based Noise Power Spectral Density Tracker. In Speech Communication; 10. ITG Symposium; Proceedings.
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2012 | Conference Paper | LibreCat-ID: 11745 | OA
Chinaev, A., Krueger, A., Tran Vu, D. H., & Haeb-Umbach, R. (2012). Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor. In 37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012).
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2012 | Book Chapter | LibreCat-ID: 11844
Krueger, A., & Haeb-Umbach, R. (2012). Reverberant Speech Recognition. In Techniques for Noise Robustness in Automatic Speech Recognition. Wiley.
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2012 | Conference Paper | LibreCat-ID: 11849 | OA
Krueger, A., Walter, O., Leutnant, V., & Haeb-Umbach, R. (2012). Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data. In Proc. Interspeech. Portland, USA.
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