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Tri-factorization learning of sub-word units with application to vocabulary acquisition.

M. Sun, and H. hamme. ICASSP, page 5177-5180. IEEE, (2012)

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Univ. -Prof. Dr. Joris van Slageren University of Stuttgart

Electrocatalytic proton reduction: Metal based fused diporphyrins with proton relays for efficient catalysisA. Singha Hazari, S. Chandra, Q. Song, D. Hunger, N. Neuman, J. Slageren, E. Klemm, B. Sarkar, and S. Kar. Dataset, (2024)Related to: Chandra, S., Singha Hazari, A., Song, Q., Hunger, D., Neuman, N. I., van Slageren, J., Klemm, E. & Sarkar, B. (2023). Remarkable Enhancement of Catalytic Activity of Cu-Complexes in the Electrochemical Hydrogen Evolution Reaction by Using Triply Fused Porphyrin. ChemSusChem 16, e202201146. doi: 10.1002/cssc.202201146.

Dr. Hugo Vale University of Stuttgart

Hon. -Prof. Dr. Jürgen Hammer University of Stuttgart

Maria Hammer University of Stuttgart

Sebastian Hammerling University of Stuttgart

Other publications of authors with the same name

Identification of linear dynamic systems using piecewise constant excitations: Use, misuse and alternatives.J. Schoukens, R. Pintelon, and H. hamme. Automatica, 30 (7): 1153-1169 (1994)A Computational Model of Language Acquisition: the Emergence of Words.L. ten Bosch, L. Boves, H. hamme, and R. Moore. Fundam. Inform., 90 (3): 229-249 (2009)An hierarchical exemplar-based sparse model of speech, with an application to ASR.J. Gemmeke, and H. hamme. ASRU, page 101-106. IEEE, (2011)Application of noise robust MDT speech recognition on the SPEECON and speechdat-car databases.J. Gemmeke, Y. Wang, M. Segbroeck, B. Cranen, and H. hamme. INTERSPEECH, page 1227-1230. ISCA, (2009)Investigating modulation spectrogram features for deep neural network-based automatic speech recognition.D. Baby, and H. hamme. INTERSPEECH, page 2479-2483. ISCA, (2015)PROSPECT features and their application to missing data techniques for robust speech recognition.H. hamme. INTERSPEECH, ISCA, (2004)Statistical language models for large vocabulary spontaneous speech recognition in dutch.J. Duchateau, D. Uytsel, H. hamme, and P. Wambacq. INTERSPEECH, page 1301-1304. ISCA, (2005)Assessment of dereverberation algorithms for large vocabulary speech recognition systems.K. Eneman, J. Duchateau, M. Moonen, D. Compernolle, and H. hamme. INTERSPEECH, ISCA, (2003)Learning from images and speech with Non-negative Matrix Factorization enhanced by input space scaling.J. Driesen, H. hamme, and W. Kleijn. SLT, page 1-6. IEEE, (2010)Comparing and combining classifiers for self-taught vocal interfaces.L. Broekx, K. Dreesen, J. Gemmeke, and H. hamme. SLPAT, page 21-28. Association for Computational Linguistics, (2013)