| 1 |
Multi-domain joint semantic frame parsing using bi-directional RNN-LSTM,” in INTERSPEECH
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In: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/IS16_MultiJoint.pdf (2016)
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| 2 |
Deep convolutional neural networks using heterogeneous pooling for trading-off acoustic invariance with phonetic confusion,” ICASSP
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In: http://research.microsoft.com/pubs/189005/RevisedFinal-multiPooling-ICASSP2013-LiDongOssama.pdf (2013)
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| 3 |
Crosslanguage knowledge transfer using multilingual deep neural networks with shared hidden layers,” ICASSP
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In: http://research.microsoft.com/pubs/189250/DNN-MultiLingual-ICASSP2013.pdf (2013)
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| 4 |
New types of deep neural network learning for speech recognition and related applications: An overview
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In: http://learning.cs.toronto.edu/~hinton/absps/overview13.pdf (2013)
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| 5 |
Machine Learning Paradigms for Speech Recognition: An Overview
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| 6 |
Towards deeper understanding: Deep convex networks for semantic utterance classification,” ICASSP
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In: http://research.microsoft.com/pubs/164624/5045.pdf (2012)
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| 7 |
A deep architecture with bilinear modeling of hidden representations: Applications to phonetic recognition
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In: http://research.microsoft.com/pubs/157583/T-DSN-ICASSP2012.pdf (2012)
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| 8 |
Are sparse representations rich enough for acoustic modeling
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In: http://www.cs.berkeley.edu/~vinyals/Files/sparse_2012.pdf (2012)
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| 9 |
Boosting attribute and phone estimation accuracies with deep neural networks for detection-based speech recognition
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In: http://research.microsoft.com/pubs/157585/DNN-Detector-ICASSP2012.pdf (2012)
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| 10 |
Context-dependent pre-trained deep neural networks for large vocabulary speech recognition
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In: http://research.microsoft.com/pubs/144412/DBN4LVCSR-TransASLP.pdf (2012)
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| 11 |
Speech-Centric Information Processing: An Optimization-Oriented Approach
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In: http://research.microsoft.com/pubs/179540/ProcIEEE_He_deng_finalsub.pdf (2012)
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| 12 |
Deep neural networks for acoustic modeling in speech recognition
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In: http://www.cs.utoronto.ca/%7Ehinton/absps/DNN-2012-proof.pdf (2012)
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| 13 |
The MSR System for IWSLT 2011 Evaluation
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In: http://www.mt-archive.info/IWSLT-2011-He.pdf (2011)
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| 14 |
The MSR System for IWSLT 2011 Evaluation
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In: http://research.microsoft.com/pubs/163079/IWSLT2011_MSR_v04.pdf (2011)
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| 16 |
Structure-based and template-based automatic speech recognition: Comparing parametric and non-parametric approaches
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In: http://www.fon.hum.uva.nl/IFA-publications/Others/Courses/SpeechRecAndSyn/Literature/a135_STB_ASR_IS07.pdf (2009)
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| 17 |
HMM adaptation using a phase-sensitive acoustic distortion model for environment-robust speech recognition
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In: http://research.microsoft.com/en-us/um/redmond/groups/srg/papers/2008-deng-icassp.pdf (2008)
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| 18 |
Acero: A discriminative training framework using N-best speech recognition transcriptions and scores for spoken utterance classification
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In: http://www1.icsi.berkeley.edu/~sibel/ICASSP2007SUC.pdf (2007)
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| 19 |
A database of vocal tract resonance trajectories for research in speech processing
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In: http://www.cs.cmu.edu/~jch1/research/old/database_final.pdf (2006)
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| 20 |
A bidirectional target-filtering model of speech coarticulation and reduction: Two-stage implementation for phonetic recognition
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In: http://research.microsoft.com/pubs/78824/BiDirectionalHDM-TransASLP2006.pdf (2006)
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