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Di Liu University of Stuttgart

Data for: The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics. Dataset, (2024)Related to: Di Liu, Florian Kaiser, Vladislav Bushmakin, Erik Hesselmeier, Timo Steidl, Takeshi Ohshima, Nguyen Tien Son, Jawad Ul-Hassan, Öney O. Soykal, Jörg Wrachtrup (2023). The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics. arXiv preprint. arXiv: 2307.13648.
 

Other publications of authors with the same name

Submodular feature selection for high-dimensional acoustic score spaces., , , , and . ICASSP, page 7184-7188. IEEE, (2013)Unsupervised submodular subset selection for speech data., , , and . ICASSP, page 4107-4111. IEEE, (2014)Graph-based semi-supervised learning for phone and segment classification., and . INTERSPEECH, page 1840-1843. ISCA, (2013)SVitchboard II and fiSVer i: high-quality limited-complexity corpora of conversational English speech., , , and . INTERSPEECH, page 673-677. ISCA, (2015)Acoustic modeling with neural graph embeddings., and . ASRU, page 581-588. IEEE, (2015)Novel Front-End Features Based on Neural Graph Embeddings for DNN-HMM and LSTM-CTC Acoustic Modeling., and . INTERSPEECH, page 793-797. ISCA, (2016)Graph-Based Semisupervised Learning for Acoustic Modeling in Automatic Speech Recognition., and . IEEE/ACM Trans. Audio, Speech & Language Processing, 24 (11): 1946-1956 (2016)Decoding Ipsilateral Finger Movements from ECoG Signals in Humans., , , , , , , and . NIPS, page 1468-1476. Curran Associates, Inc., (2010)Submodular subset selection for large-scale speech training data., , , , and . ICASSP, page 3311-3315. IEEE, (2014)Robust Speech Recognition via Anchor Word Representations., , , , , , and . INTERSPEECH, page 2471-2475. ISCA, (2017)