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318 Publications
2016 | Conference Paper | LibreCat-ID: 11771 | 
T. Glarner, M. Mahdi Momenzadeh, L. Drude, and R. Haeb-Umbach, “Factor Graph Decoding for Speech Presence Probability Estimation,” in 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11812 |
J. Heymann, L. Drude, and R. Haeb-Umbach, “Neural Network Based Spectral Mask Estimation for Acoustic Beamforming,” in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2016.
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2016 | Conference Paper | LibreCat-ID: 11829 |
F. Jacob and R. Haeb-Umbach, “On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays,” in 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11834 |
J. Heymann, L. Drude, and R. Haeb-Umbach, “Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition,” in Computer Speech and Language, 2016.
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2016 | Journal Article | LibreCat-ID: 11840 |
K. Kinoshita 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.
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2016 | Conference Paper | LibreCat-ID: 11908 |
T. Menne et al., “The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation,” in Computer Speech and Language, 2016.
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2016 | Conference Paper | LibreCat-ID: 11920 |
O. Walter and R. Haeb-Umbach, “Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models,” in 38th German Conference on Pattern Recognition (GCPR 2016), 2016.
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2016 | Conference Paper | LibreCat-ID: 11890 |
J. Schmalenstroeer and R. Haeb-Umbach, “Investigations into Bluetooth Low Energy Localization Precision Limits,” 2016.
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2015 | Conference Paper | LibreCat-ID: 11739 |
A. Chinaev and R. Haeb-Umbach, “On Optimal Smoothing in Minimum Statistics Based Noise Tracking,” in Interspeech 2015, 2015, pp. 1785–1789.
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2015 | Conference Paper | LibreCat-ID: 11748 |
V. Despotovic, O. Walter, and R. Haeb-Umbach, “Semantic Analysis of Spoken Input using Markov Logic Networks,” in INTERSPEECH 2015, 2015.
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2015 | Conference Paper | LibreCat-ID: 11755 |
L. Drude, F. Jacob, and R. Haeb-Umbach, “DOA-Estimation based on a Complex Watson Kernel Method,” in 23th European Signal Processing Conference (EUSIPCO 2015), 2015.
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2015 | Conference Paper | LibreCat-ID: 11810
J. Heymann, L. Drude, A. Chinaev, and R. Haeb-Umbach, “BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge,” in Automatic Speech Recognition and Understanding Workshop (ASRU 2015), 2015.
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2015 | Conference Paper | LibreCat-ID: 11813 |
J. Heymann, R. Haeb-Umbach, P. Golik, and R. Schlueter, “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, pp. 5053–5057.
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2015 | Journal Article | LibreCat-ID: 11830 |
F. Jacob and R. Haeb-Umbach, “Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network,” ArXiv e-prints, 2015.
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2015 | Book | LibreCat-ID: 11868 |
J. Li, L. Deng, R. Haeb-Umbach, and Y. Gong, Robust Automatic Speech Recognition. Elsevier, 2015.
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2015 | Conference Paper | LibreCat-ID: 11875 |
E. Marchi et al., “Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages,” in INTERSPEECH 2015, 2015.
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2015 | Conference Paper | LibreCat-ID: 11919 |
O. Walter, L. Drude, and R. Haeb-Umbach, “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.
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2015 | Journal Article | LibreCat-ID: 11922 |
O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, and B. Hammer, “Autonomous Learning of Representations,” KI - Kuenstliche Intelligenz, pp. 1–13, 2015.
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2015 | Report | LibreCat-ID: 11923 |
O. Walter, R. Haeb-Umbach, J. Strunk, and N. P. Himmelmann, Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01). 2015.
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