Liftered forward masking procedure for robust digits recognition. - Kaisheng Yao; Bertram E. Shi; Pascale Fung; Zhigang Cao (EUROSPEECH, 1999)

Soft GPD for minimum classification error rate training. - Bertram E. Shi; Kaisheng Yao; Zhigang Cao (ICASSP, 2000)

Residual noise compensation for robust speech recognition in nonstationary noise. - Kaisheng Yao; Bertram E. Shi; Pascale Fung; Zhigang Cao (ICASSP, 2000)

Residual noise compensation by a sequential EM algorithm for robust speech recognition in nonstationary noise. - Kaisheng Yao; Bertram E. Shi; Satoshi Nakamura 001; Zhigang Cao (INTERSPEECH, 2000)

Feature extraction and model-based noise compensation for noisy speech recognition evaluated on AURORA 2 task. - Kaisheng Yao; Jingdong Chen; Kuldip K. Paliwal; Satoshi Nakamura 001 (INTERSPEECH, 2001)

Sequential noise compensation by a sequential kullback proximal algorithm. - Kaisheng Yao; Kuldip K. Paliwal; Satoshi Nakamura 001 (INTERSPEECH, 2001)

Sequential Noise Compensation by Sequential Monte Carlo Method. - Kaisheng Yao; Satoshi Nakamura (NIPS, 2001)

Noise adaptive speech recognition in time-varying noise based on sequential kullback proximal algorithm. - Kaisheng Yao; Kuldip K. Paliwal; Satoshi Nakamura 001 (ICASSP, 2002)

Noise adaptive speech recognition with acoustic models trained from noisy speech evaluated on Aurora-2 database. - Kaisheng Yao; Kuldip K. Paliwal; Satoshi Nakamura 001 (INTERSPEECH, 2002)

Evaluation of a noise adaptive speech recognition system on the Aurora 3 database. - Kaisheng Yao; Donglai Zhu; Satoshi Nakamura 001 (INTERSPEECH, 2002)

Speech recognition with a generative factor analyzed hidden Markov model. - Kaisheng Yao; Kuldip K. Paliwal; Te-Won Lee (INTERSPEECH, 2003)

Model based noisy speech recognition with environment parameters estimated by noise adaptive speech recognition with prior. - Kaisheng Yao; Kuldip K. Paliwal; Satoshi Nakamura 001 (INTERSPEECH, 2003)

A speech processing front-end with eigenspace normalization for robust speech recognition in noisy automobile environments. - Kaisheng Yao; Erik M. Visser; Oh-Wook Kwon; Te-Won Lee (INTERSPEECH, 2003)

Speech enhancement by perceptual filter with sequential noise parameter estimation. - Te-Won Lee; Kaisheng Yao (ICASSP (1), 2004)

Emotion verification for emotion detection and unknown emotion rejection. - Hoon-Young Cho; Kaisheng Yao; Te-Won Lee (INTERSPEECH, 2004)

Time-Varying Noise Estimation for Speech Enhancement and Recognition Using Sequential Monte Carlo Method. - Kaisheng Yao; Te-Won Lee (EURASIP J. Adv. Signal Process., 2004)

Noise adaptive speech recognition based on sequential noise parameter estimation. - Kaisheng Yao; Kuldip K. Paliwal; Satoshi Nakamura 001 (Speech Commun., 2004)

Generative factor analyzed HMM for automatic speech recognition. - Kaisheng Yao; Kuldip K. Paliwal; Te-Won Lee (Speech Commun., 2005)

Speaker-Independent Name Recognition Using Improved Compensation and Acoustic Modeling Methods for Mobile Applications. - Kaisheng Yao; Lorin Netsch; Vishu Viswanathan (ICASSP (1), 2006)

An Approach to Low Footprint Pronunciation Models for Embedded Speaker Independent Name Recognition. - Kaisheng Yao; Lorin Netsch (ICASSP (4), 2007)

A basis method for robust estimation of constrained MLLR. - Daniel Povey; Kaisheng Yao (ICASSP, 2011)

A Feature Space Transformation Method for Personalization using Generalized I-Vector Clustering. - Kaisheng Yao; Yifan Gong 001; Chaojun Liu (INTERSPEECH, 2012)

Adaptation of context-dependent deep neural networks for automatic speech recognition. - Kaisheng Yao; Dong Yu 001; Frank Seide; Hang Su; Li Deng 001; Yifan Gong 001 (SLT, 2012)

A basis representation of constrained MLLR transforms for robust adaptation. - Daniel Povey; Kaisheng Yao (Comput. Speech Lang., 2012)

Recent advances in deep learning for speech research at Microsoft. - Li Deng 001; Jinyu Li 001; Jui-Ting Huang; Kaisheng Yao; Dong Yu 001; Frank Seide; Michael L. Seltzer; Geoffrey Zweig; Xiaodong He 001; Jason D. Williams; Yifan Gong 001; Alex Acero (ICASSP, 2013)

KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition. - Dong Yu 001; Kaisheng Yao; Hang Su; Gang Li 012; Frank Seide (ICASSP, 2013)

Speed up of recurrent neural network language models with sentence independent subsampling stochastic gradient descent. - Yangyang Shi; Mei-Yuh Hwang; Kaisheng Yao; Martha A. Larson (INTERSPEECH, 2013)

Recurrent neural networks for language understanding. - Kaisheng Yao; Geoffrey Zweig; Mei-Yuh Hwang; Yangyang Shi; Dong Yu 001 (INTERSPEECH, 2013)

Recurrent conditional random field for language understanding. - Kaisheng Yao; Baolin Peng; Geoffrey Zweig; Dong Yu 001; Xiaolong Li; Feng Gao (ICASSP, 2014)

An introduction to computational networks and the computational network toolkit (invited talk). - Dong Yu 001; Adam Eversole; Michael L. Seltzer; Kaisheng Yao; Brian Guenter; Oleksii Kuchaiev; Frank Seide; Huaming Wang; Jasha Droppo; Zhiheng Huang; Geoffrey Zweig; Christopher J. Rossbach; et al. (INTERSPEECH, 2014)

Spoken language understanding using long short-term memory neural networks. - Kaisheng Yao; Baolin Peng; Yu Zhang 033; Dong Yu 001; Geoffrey Zweig; Yangyang Shi (SLT, 2014)

A fast maximum likelihood nonlinear feature transformation method for GMM-HMM speaker adaptation. - Kaisheng Yao; Dong Yu 001; Li Deng 001; Yifan Gong 001 (Neurocomputing, 2014)

Semi-supervised slot tagging in spoken language understanding using recurrent transductive support vector machines. - Yangyang Shi; Kaisheng Yao; Hu Chen; Yi-Cheng Pan; Mei-Yuh Hwang (ASRU, 2015)

Estimating confidence scores on ASR results using recurrent neural networks. - Kaustubh Kalgaonkar; Chaojun Liu; Yifan Gong 001; Kaisheng Yao (ICASSP, 2015)

Feedback-based handwriting recognition from inertial sensor data for wearable devices. - Yujia Li 001; Kaisheng Yao; Geoffrey Zweig (ICASSP, 2015)

A factorization network based method for multi-lingual domain classification. - Yangyang Shi; Yi-Cheng Pan; Mei-Yuh Hwang; Kaisheng Yao; Hu Chen; Yuanhang Zou; Baolin Peng (ICASSP, 2015)

Contextual spoken language understanding using recurrent neural networks. - Yangyang Shi; Kaisheng Yao; Hu Chen; Yi-Cheng Pan; Mei-Yuh Hwang; Baolin Peng (ICASSP, 2015)

Deep neural support vector machines for speech recognition. - Shi-Xiong Zhang 001; Chaojun Liu; Kaisheng Yao; Yifan Gong 001 (ICASSP, 2015)

Intermediate-layer DNN adaptation for offline and session-based iterative speaker adaptation. - Kshitiz Kumar; Chaojun Liu; Kaisheng Yao; Yifan Gong 001 (INTERSPEECH, 2015)

Sequence-to-sequence neural net models for grapheme-to-phoneme conversion. - Kaisheng Yao; Geoffrey Zweig (INTERSPEECH, 2015)

Recurrent Neural Networks with External Memory for Spoken Language Understanding. - Baolin Peng; Kaisheng Yao; Jing Li 049; Kam-Fai Wong (NLPCC, 2015)

Recurrent Neural Networks with External Memory for Language Understanding. - Baolin Peng; Kaisheng Yao (CoRR, 2015)

Depth-Gated LSTM. - Kaisheng Yao; Trevor Cohn; Katerina Vylomova; Kevin Duh; Chris Dyer (CoRR, 2015)

Attention with Intention for a Neural Network Conversation Model. - Kaisheng Yao; Geoffrey Zweig; Baolin Peng (CoRR, 2015)

The Computational Network Toolkit [Best of the Web]. - Dong Yu 001; Kaisheng Yao; Yu Zhang 033 (IEEE Signal Process. Mag., 2015)

Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding. - Grégoire Mesnil; Yann N. Dauphin; Kaisheng Yao; Yoshua Bengio; Li Deng 001; Dilek Hakkani-Tür; Xiaodong He 001; Larry P. Heck; Gökhan Tür; Dong Yu 001; Geoffrey Zweig (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Highway long short-term memory RNNS for distant speech recognition. - Yu Zhang 033; Guoguo Chen; Dong Yu 001; Kaisheng Yao; Sanjeev Khudanpur; James R. Glass (ICASSP, 2016)

A bi-directional LSTM approach for polyphone disambiguation in Mandarin Chinese. - Changhao Shan; Lei Xie; Kaisheng Yao (ISCSLP, 2016)

Investigating LSTM for punctuation prediction. - Kaituo Xu; Lei Xie; Kaisheng Yao (ISCSLP, 2016)

Incorporating Structural Alignment Biases into an Attentional Neural Translation Model. - Trevor Cohn; Cong Duy Vu Hoang; Ekaterina Vymolova; Kaisheng Yao; Chris Dyer; Gholamreza Haffari (HLT-NAACL, 2016)

Recurrent Support Vector Machines For Slot Tagging In Spoken Language Understanding. - Yangyang Shi; Kaisheng Yao; Hu Chen; Dong Yu 001; Yi-Cheng Pan; Mei-Yuh Hwang (HLT-NAACL, 2016)

Deep LSTM based Feature Mapping for Query Classification. - Yangyang Shi; Kaisheng Yao; Le Tian; Daxin Jiang (HLT-NAACL, 2016)

An Attentional Neural Conversation Model with Improved Specificity. - Kaisheng Yao; Baolin Peng; Geoffrey Zweig; Kam-Fai Wong (CoRR, 2016)

Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation. - Ming He 001; Jiuling Zhang; Peng Yang; Kaisheng Yao (WSDM, 2018)

基于标签信息特征相似性的协同过滤个性化推荐 (Collaborative Filtering Personalized Recommendation Based on Similarity of Tag Information Feature). - Ming He 001; Kaisheng Yao; Peng Yang; Jiuling Zhang (计算机科学, 2018)

TEFRCF: 标签熵特征表示的协同过滤个性化推荐算法 (TEFRCF: Collaborative Filtering Personalized Recommendation Algorithm Based on TagEntropy Feature Representation). - Ming He 001; Peng Yang; Kaisheng Yao; Jiuling Zhang (计算机科学, 2018)

Joint Optimization of Classification and Clustering for Deep Speaker Embedding. - Zhiming Wang; Kaisheng Yao; Shuo Fang; Xiaolong Li 005 (ASRU, 2019)

Tag2Vec: Tag Embedding for Top-N Recommendation. - Ming He 001; Kaisheng Yao; Peng Yang; Yuan Yao (ICNC-FSKD, 2019)

Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models. - Yangming Li; Kaisheng Yao; Libo Qin 001; Shuang Peng 009; Yijia Liu; Xiaolong Li 005 (AAAI, 2020)

Handling Rare Entities for Neural Sequence Labeling. - Yangming Li; Han Li; Kaisheng Yao; Xiaolong Li (ACL, 2020)

Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network. - Yangming Li; Kaisheng Yao; Libo Qin 001; Wanxiang Che; Xiaolong Li 005; Ting Liu 001 (ACL, 2020)

Multi-Resolution Multi-Head Attention in Deep Speaker Embedding. - Zhiming Wang; Kaisheng Yao; Xiaolong Li 005; Shuo Fang (ICASSP, 2020)

Rewriter-Evaluator Framework for Neural Machine Translation. - Yangming Li; Kaisheng Yao (CoRR, 2020)

Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines. - Yangming Li; Kaisheng Yao (AAAI, 2021)

Rewriter-Evaluator Architecture for Neural Machine Translation. - Yangming Li; Kaisheng Yao (ACL/IJCNLP (1), 2021)

AntVoice Neural Speaker Embedding System for FFSVC 2020. - Zhiming Wang; Furong Xu; Kaisheng Yao; Yuan Cheng; Tao Xiong; Huijia Zhu (Interspeech, 2021)

Neural Sequence Segmentation as Determining the Leftmost Segments. - Yangming Li; Lemao Liu; Kaisheng Yao (NAACL-HLT, 2021)

Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input. - Qingpei Guo; Kaisheng Yao; Wei Chu (ECCV (36), 2022)

Enhancing Abstractiveness of Summarization Models through Calibrated Distillation. - Hwanjun Song; Igor Shalyminov; Hang Su; Siffi Singh; Kaisheng Yao; Saab Mansour (EMNLP (Findings), 2023)

Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training. - Jianfeng He; Julian Salazar; Kaisheng Yao; Haoqi Li; Jinglun Cai (CoRR, 2023)

Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training. - Jianfeng He; Julian Salazar; Kaisheng Yao; Haoqi Li; Jason Cai (EACL (1), 2024)

MMMT-IF: A Challenging Multimodal Multi-Turn Instruction Following Benchmark. - Elliot L. Epstein; Kaisheng Yao; Jing Li; Xinyi Bai; Hamid Palangi (CoRR, 2024)