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Semi-supervised training of Gaussian mixture models by conditional entropy minimization.

J. Huang, and M. Hasegawa-Johnson. INTERSPEECH, page 1353-1356. ISCA, (2010)

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Dr. -Ing. Daniel Markthaler University of Stuttgart

Replication Data for: Biocatalytic stereocontrolled head-to-tail cyclizations of unbiased terpenes as a tool in chemoenzymatic synthesisN. Hansen, and D. Markthaler. Dataset, (2024)Related to: Schneider, Andreas; Lystbæk, Thomas B.; Markthaler, Daniel; Hansen, Niels; Hauer, Bernhard (2024): Biocatalytic stereocontrolled head-to-tail cyclizations of unbiased terpenes as a tool in chemoenzymatic synthesis. In: Nature Communications, 15, 4925. doi: 10.1038/s41467-024-48993-9.

Mark Burkhardt University of Stuttgart

Dr. Mark Hamilton University of Stuttgart

Mark Kurcsics University of Stuttgart

Dr. rer. nat. habil. Frederik Marks University of Stuttgart

Other publications of authors with the same name

Detecting interaction links in a collaborating group using manually annotated data.S. Mathur, M. Poole, F. Peña-Mora, M. Hasegawa-Johnson, and N. Contractor. Social Networks, 34 (4): 515-526 (2012)Simultaneous recognition of words and prosody in the Boston University Radio Speech Corpus.M. Hasegawa-Johnson, K. Chen, J. Cole, S. Borys, S. Kim, A. Cohen, T. Zhang, J. Choi, H. Kim, and T. Yoon. Speech Communication, 46 (3-4): 418-439 (2005)A Novel Vector Representation of Stochastic Signals Based on Adapted Ergodic HMMs.H. Tang, M. Hasegawa-Johnson, and T. Huang. IEEE Signal Process. Lett., 17 (8): 715-718 (2010)Automatic detection of auditory salience with optimized linear filters derived from human annotation.K. Kim, K. Lin, D. Walther, M. Hasegawa-Johnson, and T. Huang. Pattern Recognition Letters, (2014)Optimal Models of Prosodic Prominence Using the Bayesian Information Criterion.T. Mahrt, J. Huang, Y. Mo, M. Fleck, M. Hasegawa-Johnson, and J. Cole. INTERSPEECH, page 2037-2040. ISCA, (2011)Articulatory phonological code for word classification.X. Zhuang, H. Nam, M. Hasegawa-Johnson, L. Goldstein, and E. Saltzman. INTERSPEECH, page 2763-2766. ISCA, (2009)Maximum mutual information estimation with unlabeled data for phonetic classification.J. Huang, and M. Hasegawa-Johnson. INTERSPEECH, page 952-955. ISCA, (2008)Optimal speech estimator considering room response as well as additive noise: Different approaches in low and high frequency range.L. Kim, and M. Hasegawa-Johnson. ICASSP, page 4573-4576. IEEE, (2008)PLP coefficients can be quantized at 400 bps.W. Gunawan, and M. Hasegawa-Johnson. ICASSP, page 77-80. IEEE, (2001)Singing-voice separation from monaural recordings using robust principal component analysis.P. Huang, S. Chen, P. Smaragdis, and M. Hasegawa-Johnson. ICASSP, page 57-60. IEEE, (2012)