Gaillardon, P.-E., Ghasemzadeh Mohammadi, H., &; De Micheli, G. (2013). Vertically-stacked silicon nanowire transistors with controllable polarity: A robustness study. In 2013 14th Latin American Test Workshop-LATW (pp. 1–6). IEEE.https://doi.org/10.1109/LATW.2013.6562673 
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DOI: 10.1109/LATW.2013.6562673

Böttcher, S., Feldotto, M., &; Hartel, R. (2013). Schema-based Parallel Compression and Decompression of XML Data. In WEBIST 2013 - Proceedings of the 9th International Conference on Web Information Systems and Technologies, Aachen, Germany, 8-10 May, 2013 (pp. 77–86).https://doi.org/10.5220/0004366300770086 
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DOI: 10.5220/0004366300770086

Abdelaziz, A. H., Zeiler, S., Kolossa, D., Leutnant, V., &; Haeb-Umbach, R. (2013). GMM-based significance decoding. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 6827–6831).https://doi.org/10.1109/ICASSP.2013.6638984 
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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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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 
LibreCat: /record/11742
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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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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).
LibreCat: /record/11815

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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DOI: 10.1109/ICASSP.2013.6638353

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).
LibreCat: /record/11841

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 
LibreCat: /record/11862
DOI: 10.1109/TASL.2013.2258013

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).
LibreCat: /record/11909

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 
LibreCat: /record/11917
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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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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).
LibreCat: /record/11924

Walter, O., Schmalenstroeer, J., &; Haeb-Umbach, R. (2013). A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01).
LibreCat: /record/11926

Bloessl, B., Segata, M., Sommer, C., &; Dressler, F. (2013). Decoding IEEE 802.11a/g/p OFDM in software using GNU radio. In Proceedings of the 19th annual international conference on Mobile computing &; networking - MobiCom ’13.https://doi.org/10.1145/2500423.2505300 
LibreCat: /record/11976
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Bloessl, B., Segata, M., Sommer, C., &; Dressler, F. (2013). An IEEE 802.11a/g/p OFDM receiver for GNU radio. In Proceedings of the second workshop on Software radio implementation forum - SRIF ’13.https://doi.org/10.1145/2491246.2491248 
LibreCat: /record/11977
DOI: 10.1145/2491246.2491248

Joerer, S., Segata, M., Bloessl, B., Cigno, R. L., Sommer, C., &; Dressler, F. (2013). To crash or not to crash: Estimating its likelihood and potentials of beacon-based IVC systems. In 2012 IEEE Vehicular Networking Conference (VNC).https://doi.org/10.1109/vnc.2012.6407441 
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DOI: 10.1109/vnc.2012.6407441

Joerer, S., Segata, M., Bloessl, B., Lo Cigno, R., Sommer, C., &; Dressler, F. (2013). A Vehicular Networking Perspective on Estimating Vehicle Collision Probability at Intersections. IEEE Transactions on Vehicular Technology, 1802–1812.https://doi.org/10.1109/tvt.2013.2287343 
LibreCat: /record/12025
DOI: 10.1109/tvt.2013.2287343

Klingler, F., Dressler, F., Cao, J., &; Sommer, C. (2013). Use both lanes: Multi-channel beaconing for message dissemination in vehicular networks. In 2013 10th Annual Conference on Wireless On-demand Network Systems and Services (WONS).https://doi.org/10.1109/wons.2013.6578342 
LibreCat: /record/12028
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