Speech lab in a box: a Mandarin speech toolbox to jumpstart speech related research. - Eric Chang; Yu Shi 001; Jian-Lai Zhou; Chao Huang 011 (INTERSPEECH, 2001)

Power spectral density based channel equalization of large speech database for concatenative TTS system. - Yu Shi 001; Eric Chang; Hu Peng; Min Chu (INTERSPEECH, 2002)

A system for spoken query information retrieval on mobile devices. - Eric Chang; Frank Seide; Helen M. Meng; Zhuoran Chen; Yu Shi 001; Yuk-Chi Li (IEEE Trans. Speech Audio Process., 2002)

Spectrogram-based formant tracking via particle filters. - Yu Shi 001; Eric Chang (ICASSP (1), 2003)

Segmental tonal modeling for phone set design in Mandarin LVCSR. - Chao Huang 011; Yu Shi 001; Jianlai Zhou; Min Chu; Terry Wang; Eric Chang (ICASSP (1), 2004)

Studies in massively speaker-specific speech recognition. - Yu Shi 001; Eric Chang (ICASSP (1), 2004)

Tone articulation modeling for Mandarin spontaneous speech recognition. - Jian-Lai Zhou; Ye Tian; Yu Shi 001; Chao Huang 011; Eric Chang (ICASSP (1), 2004)

Auto-Segmentation Based Partitioning and Clustering Approach to Robust Endpointing. - Yu Shi 001; Frank K. Soong; Jian-Lai Zhou (ICASSP (1), 2006)

Auto-segmentation based VAD for robust ASR. - Yu Shi 001; Frank K. Soong; Jian-Lai Zhou (INTERSPEECH, 2006)

Integrating Hypotheses of Multiple Recognizers for Improving Mandarin LVCSR Performance. - Yu Shi 001; Frank K. Soong; Jian-Lai Zhou (ISCSLP, 2006)

A Robust Voice Activity Detection Based on Noise Eigenspace Projection. - Dongwen Ying; Yu Shi 001; Frank K. Soong; Jianwu Dang 001; Xugang Lu (ISCSLP (Selected Papers), 2006)

Towards spoken-document retrieval for the enterprise: Approximate word-lattice indexing with text indexers. - Frank Seide; Peng Yu; Yu Shi 001 (ASRU, 2007)

A Segmentation Posterior Based Endpointing Algorithm. - Yanlu Xie; Yu Shi 001; Frank K. Soong; Beiqian Dai (ICASSP (4), 2007)

A Unified Framework for Symbol Segmentation and Recognition of Handwritten Mathematical Expressions. - Yu Shi 001; HaiYang Li; Frank K. Soong (ICDAR, 2007)

Symbol graph based discriminative training and rescoring for improved math symbol recognition. - Zhen Xuan Luo; Yu Shi 001; Frank K. Soong (ICASSP, 2008)

Approximateword-lattice indexing with text indexers: Time-Anchored Lattice Expansion. - Peng Yu; Yu Shi 001; Frank Seide (ICASSP, 2008)

A symbol graph based handwritten math expression recognition. - Yu Shi 001; Frank K. Soong (ICPR, 2008)

GPU-accelerated Gaussian clustering for fMPE discriminative training. - Yu Shi 001; Frank Seide; Frank K. Soong (INTERSPEECH, 2008)

A Study of Feature Design for Online Handwritten Chinese Character Recognition Based on Continuous-Density Hidden Markov Models. - Lei Ma; Qiang Huo; Yu Shi 001 (ICDAR, 2009)

A Study of Discriminative Training for HMM-Based Online Handwritten Chinese/Japanese Character Recognition. - Yongqiang Wang 008; Qiang Huo; Yu Shi 001 (ICFHR, 2010)

A study of irrelevant variability normalization based training and unsupervised online adaptation for LVCSR. - Guangchuan Shi; Yu Shi 001; Qiang Huo (INTERSPEECH, 2010)

MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension. - Huaishao Luo; Yu Shi 001; Ming Gong 001; Linjun Shou; Tianrui Li 001 (AACL/IJCNLP, 2020)

Mixed-Lingual Pre-training for Cross-lingual Summarization. - Ruochen Xu; Chenguang Zhu 001; Yu Shi 001; Michael Zeng 001; Xuedong Huang 001 (AACL/IJCNLP, 2020)

Discriminative Transfer Learning for Optimizing ASR and Semantic Labeling in Task-Oriented Spoken Dialog. - Yao Qian; Yu Shi 001; Michael Zeng 001 (INTERSPEECH, 2020)

Generating Human Readable Transcript for Automatic Speech Recognition with Pre-Trained Language Model. - Junwei Liao; Yu Shi 001; Ming Gong 001; Linjun Shou; Sefik Emre Eskimez; Liyang Lu; Hong Qu; Michael Zeng 001 (ICASSP, 2021)

Speech-Language Pre-Training for End-to-End Spoken Language Understanding. - Yao Qian; Ximo Bian; Yu Shi 001; Naoyuki Kanda; Leo Shen; Zhen Xiao; Michael Zeng 001 (ICASSP, 2021)

Improving Zero-shot Neural Machine Translation on Language-specific Encoders- Decoders. - Junwei Liao; Yu Shi 001; Ming Gong 001; Linjun Shou; Hong Qu; Michael Zeng 001 (IJCNN, 2021)

Listen, Look and Deliberate: Visual Context-Aware Speech Recognition Using Pre-Trained Text-Video Representations. - Shahram Ghorbani; Yashesh Gaur; Yu Shi 001; Jinyu Li 001 (SLT, 2021)

A Joint and Domain-Adaptive Approach to Spoken Language Understanding. - Linhao Zhang; Yu Shi 001; Linjun Shou; Ming Gong 001; Houfeng Wang; Michael Zeng 001 (CoRR, 2021)

Florence: A New Foundation Model for Computer Vision. - Lu Yuan; Dongdong Chen 001; Yi-Ling Chen; Noel Codella; Xiyang Dai; Jianfeng Gao 001; Houdong Hu; Xuedong Huang 001; Boxin Li; Chunyuan Li; Ce Liu 001; Mengchen Liu; et al. (CoRR, 2021)

Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition. - Ken'ichi Kumatani; Robert Gmyr; Felipe Cruz Salinas; Linquan Liu; Wei Zuo; Devang Patel; Eric Sun; Yu Shi 001 (CoRR, 2021)

Optimizing Alignment of Speech and Language Latent Spaces for End-To-End Speech Recognition and Understanding. - Wei Wang 010; Shuo Ren; Yao Qian; Shujie Liu 001; Yu Shi 001; Yanmin Qian; Michael Zeng 001 (ICASSP, 2022)

Automatic Speech Recognition Post-Processing for Readability: Task, Dataset and a Two-Stage Pre-Trained Approach. - Junwei Liao; Yu Shi 001; Yong Xu (IEEE Access, 2022)

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. - Pengcheng He; Baolin Peng; Liyang Lu; Song Wang 012; Jie Mei; Yang Liu 124; Ruochen Xu; Hany Hassan Awadalla; Yu Shi 001; Chenguang Zhu 001; Wayne Xiong; Michael Zeng 001; et al. (CoRR, 2022)

Breaking trade-offs in speech separation with sparsely-gated mixture of experts. - Xiaofei Wang 009; Zhuo Chen 006; Yu Shi 001; Jian Wu 027; Naoyuki Kanda; Takuya Yoshioka (CoRR, 2022)

i-Code: An Integrative and Composable Multimodal Learning Framework. - Ziyi Yang; Yuwei Fang; Chenguang Zhu 001; Reid Pryzant; Dongdong Chen 001; Yu Shi 001; Yichong Xu; Yao Qian; Mei Gao; Yi-Ling Chen; Liyang Lu; Yujia Xie; et al. (AAAI, 2023)

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. - Pengcheng He; Baolin Peng; Song Wang 012; Yang Liu 124; Ruochen Xu; Hany Hassan; Yu Shi 001; Chenguang Zhu 001; Wayne Xiong; Michael Zeng 001; Jianfeng Gao 001; Xuedong Huang 001 (ACL (1), 2023)

Code-Switching Text Generation and Injection in Mandarin-English ASR. - Haibin Yu; Yuxuan Hu 003; Yao Qian; Ma Jin; Linquan Liu; Shujie Liu 001; Yu Shi 001; Yanmin Qian; Edward Lin; Michael Zeng 001 (ICASSP, 2023)

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. - Ziyi Yang; Mahmoud Khademi; Yichong Xu; Reid Pryzant; Yuwei Fang; Chenguang Zhu 001; Dongdong Chen 001; Yao Qian; Mei Gao; Yi-Ling Chen; Robert Gmyr; Naoyuki Kanda; et al. (CoRR, 2023)

Improving Readability for Automatic Speech Recognition Transcription. - Junwei Liao; Sefik Emre Eskimez; Liyang Lu; Yu Shi 001; Ming Gong 001; Linjun Shou; Hong Qu; Michael Zeng 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. - Ziyi Yang; Mahmoud Khademi; Yichong Xu; Reid Pryzant; Yuwei Fang; Chenguang Zhu 001; Dongdong Chen 001; Yao Qian; Xuemei Gao; Yi-Ling Chen; Robert Gmyr; Naoyuki Kanda; et al. (NAACL-HLT (Findings), 2024)