Chang Zeng

According to our database, Chang Zeng authored at least 16 papers between 2021 and 2024.

Collaborative distances:

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

2024

HAM-TTS: Hierarchical Acoustic Modeling for Token-Based Zero-Shot Text-to-Speech with Model and Data Scaling.

Chunhui Wang, Chang Zeng, Bowen Zhang, Ziyang Ma, Yefan Zhu, Zifeng Cai, Jian Zhao, Zhonglin Jiang, Yong Chen

CoRR, 2024

2023

Beyond Universal Transformer: block reusing with adaptor in Transformer for automatic speech recognition.

Haoyu Tang, Zhaoyi Liu, Chang Zeng, Xinfeng Li

CoRR, 2023

PETCH-DB: a Portal for Exploring Tissue-specific and Complex disease-associated 5-Hydroxymethylcytosines.

Qinyun Cai, Zhou Zhang, Xiaolong Cui, Chang Zeng, Jiabin Cai, Jiajun Cai, Kai Wu, Xu Zhang, Yixiang Shi, Zoe Arvanitakis, Marc A Bissonnette, Brian C.-H. Chiu, Shi-Yuan Cheng, Chuan He, Wei Zhang

Database J. Biol. Databases Curation, 2023

SSI-Net: A Multi-Stage Speech Signal Improvement System for ICASSP 2023 SSI Challenge.

Weixin Zhu, Zilin Wang, Jiuxin Lin, Chang Zeng, Tao Yu

Proceedings of the IEEE International Conference on Acoustics, 2023

Cross-Modal Audio-Visual Co-Learning for Text-Independent Speaker Verification.

Meng Liu, Kong Aik Lee, Longbiao Wang, Hanyi Zhang, Chang Zeng, Jianwu Dang

Proceedings of the IEEE International Conference on Acoustics, 2023

Crosssinger: A Cross-Lingual Multi-Singer High-Fidelity Singing Voice Synthesizer Trained on Monolingual Singers.

Xintong Wang, Chang Zeng, Jun Chen, Chunhui Wang

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Xiaoicesing 2: A High-Fidelity Singing Voice Synthesizer Based on Generative Adversarial Network.

Chunhui Wang, Chang Zeng, Xing He

CoRR, 2022

HiFi-WaveGAN: Generative Adversarial Network with Auxiliary Spectrogram-Phase Loss for High-Fidelity Singing Voice Generation.

Chunhui Wang, Chang Zeng, Xing He

CoRR, 2022

Joint Speaker Encoder and Neural Back-end Model for Fully End-to-End Automatic Speaker Verification with Multiple Enrollment Utterances.

Chang Zeng, Xiaoxiao Miao, Xin Wang, Erica Cooper, Junichi Yamagishi

CoRR, 2022

Deep Spectro-temporal Artifacts for Detecting Synthesized Speech.

Xiaohui Liu, Meng Liu, Lin Zhang, Linjuan Zhang, Chang Zeng, Kai Li, Nan Li, Kong Aik Lee, Longbiao Wang, Jianwu Dang

Proceedings of the DDAM@MM 2022: Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia, 2022

Spoofing-Aware Attention based ASV Back-end with Multiple Enrollment Utterances and a Sampling Strategy for the SASV Challenge 2022.

Chang Zeng, Lin Zhang, Meng Liu, Junichi Yamagishi

Proceedings of the Interspeech 2022, 2022

Data Augmentation Using McAdams-Coefficient-Based Speaker Anonymization for Fake Audio Detection.

Kai Li, Sheng Li, Xugang Lu, Masato Akagi, Meng Liu, Lin Zhang, Chang Zeng, Longbiao Wang, Jianwu Dang, Masashi Unoki

Proceedings of the Interspeech 2022, 2022

Attention Back-End for Automatic Speaker Verification with Multiple Enrollment Utterances.

Chang Zeng, Xin Wang, Erica Cooper, Xiaoxiao Miao, Junichi Yamagishi

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Exploring Deep Learning for Joint Audio-Visual Lip Biometrics.

Meng Liu, Longbiao Wang, Kong Aik Lee, Hanyi Zhang, Chang Zeng, Jianwu Dang

CoRR, 2021

Attention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterances.

Chang Zeng, Xin Wang, Erica Cooper, Junichi Yamagishi

CoRR, 2021

DeepLip: A Benchmark for Deep Learning-Based Audio-Visual Lip Biometrics.

Meng Liu, Longbiao Wang, Kong Aik Lee, Hanyi Zhang, Chang Zeng, Jianwu Dang

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021