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John Dines
John Dines
Director Machine Learning Science at Expedia Group
Verified email at expedia.com
Title
Cited by
Cited by
Year
On the use of information retrieval measures for speech recognition evaluation
IA McCowan, D Moore, J Dines, D Gatica-Perez, M Flynn, P Wellner, ...
IDIAP, 2004
1812004
The AMI system for the transcription of speech in meetings
T Hain, V Wan, L Burget, M Karafiat, J Dines, J Vepa, G Garau, M Lincoln
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE …, 2007
1502007
Transcribing meetings with the AMIDA systems
T Hain, L Burget, J Dines, PN Garner, F Grézl, A El Hannani, M Huijbregts, ...
IEEE Transactions on Audio, Speech, and Language Processing 20 (2), 486-498, 2011
1362011
Hi YouTube! Personality impressions and verbal content in social video
JI Biel, V Tsiminaki, J Dines, D Gatica-Perez
Proceedings of the 15th ACM on International conference on multimodal …, 2013
1132013
Thousands of voices for HMM-based speech synthesis–Analysis and application of TTS systems built on various ASR corpora
J Yamagishi, B Usabaev, S King, O Watts, J Dines, J Tian, Y Guan, R Hu, ...
IEEE Transactions on Audio, Speech, and Language Processing 18 (5), 984-1004, 2010
1082010
The segmentation of multi-channel meeting recordings for automatic speech recognition
J Dines, J Vepa, T Hain
IDIAP, 2006
982006
Juicer: A weighted finite-state transducer speech decoder
D Moore, J Dines, MM Doss, J Vepa, O Cheng, T Hain
Machine Learning for Multimodal Interaction: Third International Workshop …, 2006
822006
The 2005 AMI system for the transcription of speech in meetings
T Hain, L Burget, J Dines, G Garau, M Karafiat, M Lincoln, I McCowan, ...
Machine Learning for Multimodal Interaction: Second International Workshop …, 2006
732006
The AMI meeting transcription system: Progress and performance
T Hain, L Burget, J Dines, G Garau, M Karafiat, M Lincoln, J Vepa, V Wan
Machine Learning for Multimodal Interaction: Third International Workshop …, 2006
642006
The development of the AMI system for the transcription of speech in meetings
T Hain, L Burget, J Dines, I McCowan, G Garau, M Karafiat, M Lincoln, ...
Machine Learning for Multimodal Interaction: Second International Workshop …, 2006
582006
Transcription of conference room meetings: an investigation
T Hain, J Dines, G Garau, M Karafiat, D Moore, V Wan, R Ordelman, ...
542005
Current trends in multilingual speech processing
H Bourlard, J Dines, M Magimai-Doss, PN Garner, D Imseng, P Motlicek, ...
Sadhana 36, 885-915, 2011
522011
The DBOX corpus collection of spoken human-human and human-machine dialogues
V Petukhova, M Gropp, D Klakow, A Schmidt, G Eigner, M Topf, S Srb, ...
The LREC 2014 Proceedings, 252–258, 2014
502014
The 2007 AMI (DA) system for meeting transcription
T Hain, L Burget, J Dines, G Garau, M Karafiat, D van Leeuwen, M Lincoln, ...
International Evaluation Workshop on Rich Transcription, 414-428, 2007
492007
Real-time ASR from meetings
PN Garner, J Dines, T Hain, A El Hannani, M Karafiat, D Korchagin, ...
Idiap, 2009
472009
The AMIDA 2009 meeting transcription system
T Hain, L Burget, J Dines, PN Garner, A El Hannani, M Huijbregts, ...
Interspeech 2010, 358-361, 2010
452010
A multi-objective learning to re-rank approach to optimize online marketplaces for multiple stakeholders
P Nguyen, J Dines, J Krasnodebski
arXiv preprint arXiv:1708.00651, 2017
422017
Comparing different acoustic modeling techniques for multilingual boosting
D Imseng, J Dines, P Motlicek, PN Garner, H Bourlard
Interspeech 2012, 1191-1194, 2012
402012
Measuring the gap between HMM-based ASR and TTS
J Dines, J Yamagishi, S King
IEEE Journal of Selected Topics in Signal Processing 4 (6), 1046-1058, 2010
392010
System and method for recognizing a user voice command in noisy environment
J Dines, J Carmona, O Masson, G Aradilla
US Patent 9,318,103, 2016
382016
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