David Suendermann-Oeft
David Suendermann-Oeft
Director of Research, ETS & Chief Scientist, EMR.AI
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
VTLN-based cross-language voice conversion
D Sundermann, H Ney, H Hoge
2003 IEEE workshop on automatic speech recognition and understanding (IEEE …, 2003
Text-independent voice conversion based on unit selection
D Sundermann, H Hoge, A Bonafonte, H Ney, A Black, S Narayanan
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
Crowdsourcing for speech processing: Applications to data collection, transcription and assessment
M Eskenazi, GA Levow, H Meng, G Parent, D Suendermann
John Wiley & Sons, 2013
Comparing open-source speech recognition toolkits
C Gaida, P Lange, R Petrick, P Proba, A Malatawy, D Suendermann-Oeft
11th International Workshop on Natural Language Processing and Cognitive Science, 2014
A first step towards eye state prediction using eeg
O Rösler, D Suendermann
Proc. of the AIHLS 1, 1-4, 2013
Using bidirectional LSTM recurrent neural networks to learn high-level abstractions of sequential features for automated scoring of non-native spontaneous speech
Z Yu, V Ramanarayanan, D Suendermann-Oeft, X Wang, K Zechner, ...
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015
Exploring ASR-free end-to-end modeling to improve spoken language understanding in a cloud-based dialog system
Y Qian, R Ubale, V Ramanaryanan, P Lange, D Suendermann-Oeft, ...
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017
A first step towards text-independent voice conversion
D Sündermann, A Bonafonte, H Ney, H Höge
Proc. of the ICSLP’04, 2004
Are we there yet? research in commercial spoken dialog systems
R Pieraccini, D Suendermann, K Dayanidhi, J Liscombe
International Conference on Text, Speech and Dialogue, 3-13, 2009
A study on residual prediction techniques for voice conversion
D Sundermann, A Bonafonte, H Ney
Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005
System and method for improving performance of semantic classifiers in spoken dialog systems
D Suendermann, K Evanini, J Liscombe, K Dayanidhi, R Pieraccini
US Patent 8,543,401, 2013
From rule-based to statistical grammars: Continuous improvement of large-scale spoken dialog systems
D Suendermann, K Evanini, J Liscombe, P Hunter, K Dayanidhi, ...
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
Evaluating speech, face, emotion and body movement time-series features for automated multimodal presentation scoring
V Ramanarayanan, CW Leong, L Chen, G Feng, D Suendermann-Oeft
Proceedings of the 2015 ACM on International Conference on Multimodal …, 2015
Text-independent cross-language voice conversion.
D Sündermann, H Höge, A Bonafonte, H Ney, J Hirschberg
An automated medical scribe for documenting clinical encounters
G Finley, E Edwards, A Robinson, M Brenndoerfer, N Sadoughi, J Fone, ...
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
Medical speech recognition: reaching parity with humans
E Edwards, W Salloum, GP Finley, J Fone, G Cardiff, M Miller, ...
International Conference on Speech and Computer, 512-524, 2017
Caller experience: a method for evaluating dialog systems and its automatic prediction
K Evanini, P Hunter, J Liscombe, D Suendermann, K Dayanidhi, ...
2008 IEEE Spoken Language Technology Workshop, 129-132, 2008
Assembling the jigsaw: How multiple open standards are synergistically combined in the HALEF multimodal dialog system
V Ramanarayanan, D Suendermann-Oeft, P Lange, R Mundkowsky, ...
Multimodal Interaction with W3C Standards, 295-310, 2017
System and method for the localization of statistical classifiers based on machine translation
D Suendermann, J Liscombe, K Dayanidhi, R Pieraccini
US Patent 9,558,183, 2017
Halef: An open-source standard-compliant telephony-based modular spoken dialog system: A review and an outlook
D Suendermann-Oeft, V Ramanarayanan, M Teckenbrock, F Neutatz, ...
Natural language dialog systems and intelligent assistants, 53-61, 2015
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