Georg Heigold
Georg Heigold
Research Scientist, Google Inc.
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End-to-end text-dependent speaker verification
G Heigold, I Moreno, S Bengio, N Shazeer
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
4152016
Small-footprint keyword spotting using deep neural networks
G Chen, C Parada, G Heigold
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
3242014
Multilingual acoustic models using distributed deep neural networks
G Heigold, V Vanhoucke, A Senior, P Nguyen, MA Ranzato, M Devin, ...
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
2862013
Sequence discriminative distributed training of long short-term memory recurrent neural networks
H Sak, O Vinyals, G Heigold, A Senior, E McDermott, R Monga, M Mao
Fifteenth annual conference of the international speech communication …, 2014
1362014
Word embeddings for speech recognition
S Bengio, G Heigold
1352014
The RWTH Aachen University open source speech recognition system
D Rybach, C Gollan, G Heigold, B Hoffmeister, J Lööf, R Schlüter, H Ney
Tenth Annual Conference of the International Speech Communication Association, 2009
1262009
An empirical study of learning rates in deep neural networks for speech recognition
A Senior, G Heigold, M Ranzato, K Yang
2013 IEEE international conference on acoustics, speech and signal …, 2013
1212013
The RWTH 2007 TC-STAR evaluation system for European English and Spanish
J Lööf, C Gollan, S Hahn, G Heigold, B Hoffmeister, C Plahl, D Rybach, ...
Eighth Annual Conference of the International Speech Communication Association, 2007
762007
Asynchronous stochastic optimization for sequence training of deep neural networks
G Heigold, E McDermott, V Vanhoucke, A Senior, M Bacchiani
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
642014
Modified MMI/MPE: A direct evaluation of the margin in speech recognition
G Heigold, T Deselaers, R Schlüter, H Ney
Proceedings of the 25th international conference on Machine learning, 384-391, 2008
612008
Multiframe deep neural networks for acoustic modeling
V Vanhoucke, M Devin, G Heigold
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
532013
A linguistic evaluation of rule-based, phrase-based, and neural MT engines
A Burchardt, V Macketanz, J Dehdari, G Heigold, JT Peter, P Williams
The Prague Bulletin of Mathematical Linguistics 108 (1), 159-170, 2017
502017
Discriminative training for automatic speech recognition: Modeling, criteria, optimization, implementation, and performance
G Heigold, H Ney, R Schluter, S Wiesler
IEEE Signal Processing Magazine 29 (6), 58-69, 2012
472012
Equivalence of generative and log-linear models
G Heigold, H Ney, P Lehnen, T Gass, R Schluter
IEEE Transactions on Audio, Speech, and Language Processing 19 (5), 1138-1148, 2010
462010
The 2006 RWTH parliamentary speeches transcription system
J Lööf, M Bisani, C Gollan, G Heigold, B Hoffmeister, C Plahl, R Schlüter, ...
Ninth International Conference on Spoken Language Processing, 2006
422006
Object classification by fusing SVMs and Gaussian mixtures
T Deselaers, G Heigold, H Ney
Pattern Recognition 43 (7), 2476-2484, 2010
392010
Cross-lingual, Character-level neural morphological tagging
R Cotterell, G Heigold
arXiv preprint arXiv:1708.09157, 2017
382017
A log-linear discriminative modeling framework for speech recognition
G Heigold
382010
Confidence-based discriminative training for model adaptation in offline Arabic handwriting recognition
P Dreuw, G Heigold, H Ney
2009 10th International Conference on Document Analysis and Recognition, 596-600, 2009
362009
Speech recognition with state-based nearest neighbour classifiers
T Deselaers, G Heigold, H Ney
Eighth Annual Conference of the International Speech Communication Association, 2007
362007
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Artículos 1–20