Learning Structured Dictionaries for Exemplar-based Voice Conversion. - Shaojin Ding; Christopher Liberatore; Ricardo Gutierrez-Osuna (INTERSPEECH, 2018)

Improving Sparse Representations in Exemplar-Based Voice Conversion with a Phoneme-Selective Objective Function. - Shaojin Ding; Guanlong Zhao; Christopher Liberatore; Ricardo Gutierrez-Osuna (INTERSPEECH, 2018)

ABD-Net: Attentive but Diverse Person Re-Identification. - Tianlong Chen 001; Shaojin Ding; Jingyi Xie; Ye Yuan 012; Wuyang Chen 001; Yang Yang; Zhou Ren; Zhangyang Wang (ICCV, 2019)

Group Latent Embedding for Vector Quantized Variational Autoencoder in Non-Parallel Voice Conversion. - Shaojin Ding; Ricardo Gutierrez-Osuna (INTERSPEECH, 2019)

Foreign Accent Conversion by Synthesizing Speech from Phonetic Posteriorgrams. - Guanlong Zhao; Shaojin Ding; Ricardo Gutierrez-Osuna (INTERSPEECH, 2019)

Golden speaker builder - An interactive tool for pronunciation training. - Shaojin Ding; Christopher Liberatore; Sinem Sonsaat; Ivana Lucic; Alif Silpachai; Guanlong Zhao; Evgeny Chukharev-Hudilainen; John Levis; Ricardo Gutierrez-Osuna (Speech Commun., 2019)

AutoSpeech: Neural Architecture Search for Speaker Recognition. - Shaojin Ding; Tianlong Chen 001; Xinyu Gong; Weiwei Zha; Zhangyang Wang (INTERSPEECH, 2020)

Improving the Speaker Identity of Non-Parallel Many-to-Many Voice Conversion with Adversarial Speaker Recognition. - Shaojin Ding; Guanlong Zhao; Ricardo Gutierrez-Osuna (INTERSPEECH, 2020)

Personal VAD: Speaker-Conditioned Voice Activity Detection. - Shaojin Ding; Quan Wang; Shuo-Yiin Chang; Li Wan 004; Ignacio López-Moreno (Odyssey, 2020)

Learning Structured Sparse Representations for Voice Conversion. - Shaojin Ding; Guanlong Zhao; Christopher Liberatore; Ricardo Gutierrez-Osuna (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Textual Echo Cancellation. - Shaojin Ding; Ye Jia; Ke Hu; Quan Wang (ASRU, 2021)

Converting Foreign Accent Speech Without a Reference. - Guanlong Zhao; Shaojin Ding; Ricardo Gutierrez-Osuna (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Towards Lifelong Learning of Multilingual Text-to-Speech Synthesis. - Mu Yang; Shaojin Ding; Tianlong Chen 001; Tong Wang; Zhangyang Wang (ICASSP, 2022)

Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable. - Shaojin Ding; Tianlong Chen 001; Zhangyang Wang (ICLR, 2022)

4-bit Conformer with Native Quantization Aware Training for Speech Recognition. - Shaojin Ding; Phoenix Meadowlark; Yanzhang He; Lukasz Lew; Shivani Agrawal; Oleg Rybakov (INTERSPEECH, 2022)

Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition. - Shaojin Ding; Rajeev Rikhye; Qiao Liang 001; Yanzhang He; Quan Wang; Arun Narayanan; Tom O'Malley; Ian McGraw (INTERSPEECH, 2022)

A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. - Shaojin Ding; Weiran Wang; Ding Zhao; Tara N. Sainath; Yanzhang He; Robert David; Rami Botros; Xin Wang 016; Rina Panigrahy; Qiao Liang 001; Dongseong Hwang; Ian McGraw; et al. (INTERSPEECH, 2022)

Accentron: Foreign accent conversion to arbitrary non-native speakers using zero-shot learning. - Shaojin Ding; Guanlong Zhao; Ricardo Gutierrez-Osuna (Comput. Speech Lang., 2022)

Efficient Cascaded Streaming ASR System Via Frame Rate Reduction. - Xingyu Cai; David Qiu; Shaojin Ding; Dongseong Hwang; Weiran Wang; Antoine Bruguier; Rohit Prabhavalkar; Tara N. Sainath; Yanzhang He (ASRU, 2023)

The Role of Feature Correlation on Quantized Neural Networks. - David Qiu; Shaojin Ding; Yanzhang He (ASRU, 2023)

Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. - Steven M. Hernandez; Ding Zhao; Shaojin Ding; Antoine Bruguier; Rohit Prabhavalkar; Tara N. Sainath; Yanzhang He; Ian McGraw (ICASSP, 2023)

Conditional Conformer: Improving Speaker Modulation For Single And Multi-User Speech Enhancement. - Tom O'Malley; Shaojin Ding; Arun Narayanan; Quan Wang; Rajeev Rikhye; Qiao Liang 001; Yanzhang He; Ian McGraw (ICASSP, 2023)

Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. - Weiran Wang; Ding Zhao; Shaojin Ding; Hao Zhang 010; Shuo-Yiin Chang; David Rybach; Tara N. Sainath; Yanzhang He; Ian McGraw; Shankar Kumar (ICASSP, 2023)

2-bit Conformer quantization for automatic speech recognition. - Oleg Rybakov; Phoenix Meadowlark; Shaojin Ding; David Qiu; Jian Li; David Rim; Yanzhang He (INTERSPEECH, 2023)

RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models. - David Qiu; David Rim; Shaojin Ding; Oleg Rybakov; Yanzhang He (CoRR, 2023)

USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. - Shaojin Ding; David Qiu; David Rim; Yanzhang He; Oleg Rybakov; Bo Li 028; Rohit Prabhavalkar; Weiran Wang; Tara N. Sainath; Zhonglin Han; Jian Li; Amir Yazdanbakhsh; et al. (ICASSP, 2024)

Rand: Robustness Aware Norm Decay for Quantized Neural Networks. - David Qiu; David Rim; Shaojin Ding; Oleg Rybakov; Yanzhang He (SLT, 2024)