| Submodular subset selection for large-scale speech training data K Wei, Y Liu, K Kirchhoff, C Bartels, J Bilmes 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 77 | 2014 |
| Using Document Summarization Techniques for Speech Data Subset Selection. Y Liu*, K Wei*, K Kirchhoff, J Bilmes HLT-NAACL, 721-726, 2013 | 60 | 2013 |
| Submodular Feature Selection for High-Dimensional Acoustic Score Space Y Liu, K Wei, K Kirchhoff, Y Song, J Bilmes International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013 | 56 | 2013 |
| Scenario reduction with submodular optimization Y Wang, Y Liu, DS Kirschen IEEE Transactions on Power Systems 32 (3), 2479-2480, 2016 | 45 | 2016 |
| Graph-Based Semi-supervised Learning for Phone and Segment Classification Y Liu, K Kirchhoff Proceedings of Annual Conference of the International Speech Communication …, 2013 | 37 | 2013 |
| Unsupervised submodular subset selection for speech data K Wei, Y Liu, K Kirchhoff, J Bilmes 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 33 | 2014 |
| Robust Speech Recognition via Anchor Word Representations. B King, IF Chen, Y Vaizman, Y Liu, R Maas, SHK Parthasarathi, ... INTERSPEECH, 2471-2475, 2017 | 24 | 2017 |
| Graph-based Semi-supervised Acoustic Modeling in DNN-based Speech Recognition Y Liu, K Kirchhoff IEEE SLT, 2014 | 21 | 2014 |
| Decoding ipsilateral finger movements from ECoG signals in humans Y Liu, M Sharma, C Gaona, JD Breshears, J Roland, ZV Freudenburg, ... Advances in Neural Information Processing Systems 23, 1468-1476, 2010 | 19 | 2010 |
| Graph-based semisupervised learning for acoustic modeling in automatic speech recognition Y Liu, K Kirchhoff IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (11 …, 2016 | 15 | 2016 |
| Graph-based Semi-Supervised Learning in Acoustic Modeling for Automatic Speech Recognition Y Liu University of Washington, 2016 | 15 | 2016 |
| Classification of Developmental Disorders from Speech Signals Using Submodular Feature Selection K Kirchhoff, Y Liu, J Bilmes Proceedings of Annual Conference of the International Speech Communication …, 2013 | 12 | 2013 |
| Acoustic modeling with neural graph embeddings Y Liu, K Kirchhoff IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2015 | 8 | 2015 |
| SVitchboard II and FiSVer I: High-Quality Limited-Complexity Corpora of Conversational English Speech Y Liu, R Iyer, K Kirchhoff, J Bilmes Interspeech, 2015 | 8 | 2015 |
| End-to-end anchored speech recognition Y Wang, X Fan, IF Chen, Y Liu, T Chen, B Hoffmeister ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 7 | 2019 |
| Novel Front-End Features Based on Neural Graph Embeddings for DNN-HMM and LSTM-CTC Acoustic Modeling Y Liu, K Kirchhoff Interspeech, 2016 | 6 | 2016 |
| A Comparison of Graph Construction and Learning Algorithms for Graph-Based Phonetic Classification Y Liu, K Kirchhoff UWEE Technical Report, UWEETR-2012-0005, 2012 | 6 | 2012 |
| Deep contextualized acoustic representations for semi-supervised speech recognition S Ling, Y Liu, J Salazar, K Kirchhoff ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 4 | 2020 |
| SVitchboard-II and FiSVer-I: Crafting high quality and low complexity conversational english speech corpora using submodular function optimization Y Liu, R Iyer, K Kirchhoff, J Bilmes Computer Speech & Language 42, 122-142, 2017 | 3 | 2017 |
| A submodularity framework for data subset selection K Kirchhoff, J Bilmes, K Wei, Y Liu, A Mandal, C Bartels WASHINGTON UNIV SEATTLE DEPT OF ELECTRICAL ENGINEERING, 2013 | 3 | 2013 |
Katrin KirchhoffAmazonVerified email at amazon.com
