Kaizhi Qian

According to our database, Kaizhi Qian authored at least 33 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

UniMuMo: Unified Text, Music and Motion Generation.

Han Yang, Kun Su, Yutong Zhang, Jiaben Chen, Kaizhi Qian, Gaowen Liu, Chuang Gan

CoRR, 2024

Towards Unsupervised Speech Recognition Without Pronunciation Models.

Junrui Ni, Liming Wang, Yang Zhang, Kaizhi Qian, Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo

CoRR, 2024

RapVerse: Coherent Vocals and Whole-Body Motions Generations from Text.

Jiaben Chen, Xin Yan, Yihang Chen, Siyuan Cen, Qinwei Ma, Haoyu Zhen, Kaizhi Qian, Lie Lu, Chuang Gan

CoRR, 2024

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling.

Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Speech Self-Supervised Learning Using Diffusion Model Synthetic Data.

Heting Gao, Kaizhi Qian, Junrui Ni, Chuang Gan, Mark A. Hasegawa-Johnson, Shiyu Chang, Yang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning.

Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Yonggan Fu, Yingyan Lin

CoRR, 2023

Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning.

Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin

Proceedings of the International Conference on Machine Learning, 2023

Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos.

Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Domain Generalization for Language-Independent Automatic Speech Recognition.

Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson

Frontiers Artif. Intell., 2022

Improving Self-Supervised Speech Representations by Disentangling Speakers.

Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang

CoRR, 2022

SpeechSplit 2.0: Unsupervised speech disentanglement for voice conversion Without tuning autoencoder Bottlenecks.

Chak Ho Chan, Kaizhi Qian, Yang Zhang, Mark Hasegawa-Johnson

CoRR, 2022

Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing.

Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Celine Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition.

Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models.

Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers.

Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang

Proceedings of the International Conference on Machine Learning, 2022

On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis.

Cheng-I Jeff Lai, Erica Cooper, Yang Zhang, Shiyu Chang, Kaizhi Qian, Yi-Lun Liao, Yung-Sung Chuang, Alexander H. Liu, Junichi Yamagishi, David D. Cox, James R. Glass

Proceedings of the IEEE International Conference on Acoustics, 2022

SpeechSplit2.0: Unsupervised Speech Disentanglement for Voice Conversion without Tuning Autoencoder Bottlenecks.

Chak Ho Chan, Kaizhi Qian, Yang Zhang, Mark Hasegawa-Johnson

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Global Rhythm Style Transfer Without Text Transcriptions.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson

CoRR, 2021

PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition.

Cheng-I Jeff Lai, Yang Zhang, Alexander H. Liu, Shiyu Chang, Yi-Lun Liao, Yung-Sung Chuang, Kaizhi Qian, Sameer Khurana, David D. Cox, James R. Glass

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Speech Denoising with Auditory Models.

Mark R. Saddler, Andrew Francl, Jenelle Feather, Kaizhi Qian, Yang Zhang, Josh H. McDermott

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Zero-Shot Cross-Lingual Phonetic Recognition with External Language Embedding.

Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Global Prosody Style Transfer Without Text Transcriptions.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson

Proceedings of the 38th International Conference on Machine Learning, 2021

Continuous Cnn For Nonuniform Time Series.

Hui Shi, Yang Zhang, Hao Wu, Shiyu Chang, Kaizhi Qian, Mark Hasegawa-Johnson, Jishen Zhao

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Deep generative models for speech editing

Kaizhi Qian

PhD thesis, 2020

Deep Network Perceptual Losses for Speech Denoising.

Mark R. Saddler, Andrew Francl, Jenelle Feather, Kaizhi Qian, Yang Zhang, Josh H. McDermott

CoRR, 2020

Unsupervised Speech Decomposition via Triple Information Bottleneck.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson, David D. Cox

Proceedings of the 37th International Conference on Machine Learning, 2020

F0-Consistent Many-To-Many Non-Parallel Voice Conversion Via Conditional Autoencoder.

Kaizhi Qian, Zeyu Jin, Mark Hasegawa-Johnson, Gautham J. Mysore

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack.

Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian

CoRR, 2019

Zero-Shot Voice Style Transfer with Only Autoencoder Loss.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson

CoRR, 2019

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson

Proceedings of the 36th International Conference on Machine Learning, 2019

Monaural Singing Voice Separation Using Fusion-Net with Time-Frequency Masking.

Feng Li, Kaizhi Qian, Mark Hasegawa-Johnson, Masato Akagi

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018

Deep Learning Based Speech Beamforming.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei A. F. Florêncio, Mark Hasegawa-Johnson

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Speech Enhancement Using Bayesian Wavenet.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei Florêncio, Mark Hasegawa-Johnson

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017