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Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech.

H. Christensen, M. Aniol, P. Bell, P. Green, T. Hain, S. King, and P. Swietojanski. INTERSPEECH, page 3642-3645. ISCA, (2013)

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Sören Hain University of Stuttgart

Dipl.-Ing. Thomas Kuestner

Scan time reduction in DWI of the pancreas using simultaneous multislice technique with different acceleration factors: how fast can we go?J. Taron, P. Martirosian, T. Küstner, M. Notohamiprodjo, J. Weiß, A. Othman, K. Nikolaou, and C. Schraml. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)The use of a generalized reconstruction by inversion of coupled systems (GRICS) approach for generic respiratory motion correction in PET/MR imagingH. Fayad, F. Odille, H. Schmidt, C. Würslin, T. Küstner, J. Felblinger, and D. Visvikis. Physics in medicine and biology, 60 (6): 2529-46 (March 2015)In-vivo MR-derived non-rigid motion correction of simultaneously acquired PETT. Küstner, C. Würslin, S. Gatidis, P. Martirosian, N. Schwenzer, B. Yang, and H. Schmidt. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Toronto, Canada, (June 2015)

Thomas Maier

Other publications of authors with the same name

Supervised and unsupervised Web-based language model domain adaptation.G. Lecorvé, J. Dines, T. Hain, and P. Motlícek. INTERSPEECH, page 182-185. ISCA, (2012)An alignment matching method to explore pseudosyllable properties across different corpora.R. Ng, T. Hain, and K. Hirose. INTERSPEECH, page 863-866. ISCA, (2012)Web-Based Automatic Speech Recognition Service - webASR.S. Wrigley, and T. Hain. INTERSPEECH, page 3265-3268. ISCA, (2011)Modelling sub-phone insertions and deletions in continuous speech recognition.T. Hain, and P. Woodland. INTERSPEECH, page 172-175. ISCA, (2000)Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech.H. Christensen, M. Aniol, P. Bell, P. Green, T. Hain, S. King, and P. Swietojanski. INTERSPEECH, page 3642-3645. ISCA, (2013)Automatic speech recognition experiments with articulatory data.E. Uraga, and T. Hain. INTERSPEECH, ISCA, (2006)Hypothesis spaces for minimum Bayes risk training in large vocabulary speech recognition.M. Gibson, and T. Hain. INTERSPEECH, ISCA, (2006)Discrimininative training of narrow band - wide band adapted systems for meeting recognition.M. Karafiát, L. Burget, T. Hain, and J. Cernocký. INTERSPEECH, page 1217-1220. ISCA, (2008)Bob: A lexicon and pronunciation dictionary generator.V. Wan, J. Dines, A. Hannani, and T. Hain. SLT, page 217-220. IEEE, (2008)Background-tracking acoustic features for genre identification of broadcast shows.O. Saz, M. Doulaty, and T. Hain. SLT, page 118-123. IEEE, (2014)

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Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech.

Please choose a person to relate this publication to

Sören Hain University of Stuttgart

Dipl.-Ing. Thomas Kuestner

Thomas Maier

Thomas Maier

Thomas Maier

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Hain, Thomas"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech.

Please choose a person to relate this publication to

Sören Hain University of Stuttgart

Dipl.-Ing. Thomas Kuestner

Thomas Maier

Thomas Maier

Thomas Maier

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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Chicago
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Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech.