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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 synthesis, and . 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.
 

Other publications of authors with the same name

Interpretable parametric voice conversion functions based on Gaussian mixture models and constrained transformations., , , , and . Computer Speech & Language, 30 (1): 3-15 (2015)AhoTransf: A Tool for Multiband Excitation Based Speech Analysis and Modification., , , , , , , and . LREC, European Language Resources Association, (2010)Objective Comparison of Four GMM-Based Methods for PMA-to-Speech Conversion., , , , and . IberSPEECH, volume 10077 of Lecture Notes in Computer Science, page 24-32. (2016)Language-Independent Acoustic Cloning of HTS Voices: An Objective Evaluation., , , and . IberSPEECH, volume 10077 of Lecture Notes in Computer Science, page 54-63. (2016)Enhancing the intelligibility of statistically generated synthetic speech by means of noise-independent modifications., , and . IEEE/ACM Trans. Audio, Speech & Language Processing, 22 (12): 2101-2111 (2014)INCA Algorithm for Training Voice Conversion Systems From Nonparallel Corpora., , and . IEEE Trans. Audio, Speech & Language Processing, 18 (5): 944-953 (2010)A Singing Voice Database in Basque for Statistical Singing Synthesis of Bertsolaritza., , , , , and . LREC, European Language Resources Association (ELRA), (2016)Using an ASR database to design a pronunciation evaluation system in Basque., , , , , , and . LREC, page 4122-4126. European Language Resources Association (ELRA), (2012)Parametric representation for singing voice synthesis: A comparative evaluation., , , , and . ICASSP, page 2564-2568. IEEE, (2014)Speech Watermarking Based on Coding of the Harmonic Phase., , , , , and . IberSPEECH, volume 8854 of Lecture Notes in Computer Science, page 259-268. Springer, (2014)