| Listen, attend and spell: A neural network for large vocabulary conversational speech recognition W Chan, N Jaitly, Q Le, O Vinyals 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 2678 | 2016 |
| Attention-based recurrent neural network models for joint intent detection and slot filling B Liu, I Lane arXiv preprint arXiv:1609.01454, 2016 | 819 | 2016 |
| Enhanced speech-to-speech translation system and methods for adding a new word A Waibel, IR Lane US Patent 8,972,268, 2015 | 429 | 2015 |
| System and methods for maintaining speech-to-speech translation in the field A Waibel, IR Lane US Patent 8,204,739, 2012 | 411 | 2012 |
| System and method for multimodal human-vehicle interaction and belief tracking A Raux, I Lane, R Gupta US Patent 9,286,029, 2016 | 188 | 2016 |
| Understanding and improving recurrent networks for human activity recognition by continuous attention M Zeng, H Gao, T Yu, OJ Mengshoel, H Langseth, I Lane, X Liu Proceedings of the 2018 ACM international symposium on wearable computers, 56-63, 2018 | 173 | 2018 |
| Handbook of natural language processing and machine translation: DARPA global autonomous language exploitation J Olive, C Christianson, J McCary Springer Science & Business Media, 2011 | 132 | 2011 |
| BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer GL Chao, I Lane Interspeech 2019, 2019 | 124 | 2019 |
| Joint Online Spoken Language Understanding and Language Modeling With Recurrent Neural Networks I Lane, B Liu 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2016 | 115 | 2016 |
| Iterative policy learning in end-to-end trainable task-oriented neural dialog models B Liu, I Lane 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 111 | 2017 |
| An end-to-end trainable neural network model with belief tracking for task-oriented dialog B Liu, I Lane arXiv preprint arXiv:1708.05956, 2017 | 111 | 2017 |
| Branchformer: Parallel mlp-attention architectures to capture local and global context for speech recognition and understanding Y Peng, S Dalmia, I Lane, S Watanabe International Conference on Machine Learning, 17627-17643, 2022 | 100 | 2022 |
| Transferring knowledge from a RNN to a DNN W Chan, NR Ke, I Lane arXiv preprint arXiv:1504.01483, 2015 | 94 | 2015 |
| The CAPIO 2017 conversational speech recognition system KJ Han, A Chandrashekaran, J Kim, I Lane arXiv preprint arXiv:1801.00059, 2017 | 90 | 2017 |
| Unsupervised Language Model Adaptation Using Latent Semantic Marginals T Yik-Cheung, I Lane, T Schultz Interspeech 2006, 2006 | 87* | 2006 |
| Semi-supervised convolutional neural networks for human activity recognition M Zeng, T Yu, X Wang, LT Nguyen, OJ Mengshoel, I Lane 2017 IEEE International Conference on Big Data (Big Data), 522-529, 2017 | 83 | 2017 |
| Recurrent neural network structured output prediction for spoken language understanding B Liu, I Lane Proc. NIPS Workshop on Machine Learning for Spoken Language Understanding …, 2015 | 77 | 2015 |
| Out-of-domain utterance detection using classification confidences of multiple topics I Lane, T Kawahara, T Matsui, S Nakamura IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 150-161, 2006 | 77 | 2006 |
| Tools for collecting speech corpora via Mechanical-Turk I Lane, M Eck, K Rottmann, A Waibel Proceedings of the NAACL HLT 2010 workshop on creating speech and language …, 2010 | 61 | 2010 |
| Bilingual LSA-based adaptation for statistical machine translation YC Tam, I Lane, T Schultz Machine translation 21, 187-207, 2007 | 58 | 2007 |
Alexander WaibelCarnegie Mellon, KIT, Karlsruhe Institute of Technology, University of Karlsruhe在 cs.cmu.edu 的电子邮件经过验证
