World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
9011
World Ranking
5401
National Ranking
722

Overview

Zhen-Hua Ling is affiliated with the University of Science and Technology of China in China. Their research primarily focuses on the field of Computer Science, with a total of 370 publications. Within this broad area, their work encompasses various subfields including Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, and Computational Mechanics.

The scientist's research topics cover a wide range of areas related to speech and audio technologies. These include Speech Recognition and Synthesis, Speech and Audio Processing, Natural Language Processing Techniques, Topic Modeling, Music and Audio Processing, Speech and Dialogue Systems, and Blind Source Separation Techniques.

Zhen-Hua Ling has contributed to a number of recent scientific papers, including:

  • ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech, 2020, published in Computer Speech & Language
  • Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models, 2020, published in IEEE Access
  • Deep learning-based speech analysis for Alzheimer's disease detection: a literature review, 2022, published in Alzheimer s Research & Therapy
  • Corrective Retrieval Augmented Generation, 2025, published in SSRN Electronic Journal
  • Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion, 2020, published in arXiv (Cornell University)

The scientist frequently publishes in venues such as arXiv (Cornell University), IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Signal Processing Letters, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), and IEEE Transactions on Audio Speech and Language Processing.

Frequent collaborators of Zhen-Hua Ling include Yang Ai, Jia-Chen Gu, Ye-Xin Lu, Quan Liu, and Hui-Peng Du. These coauthors have contributed to multiple publications alongside Ling, highlighting a network of ongoing research partnerships.

In addition to journal articles, Zhen-Hua Ling has contributed to book publications with Springer Science+Business Media. One such book is titled "Man-Machine Speech Communication," published in 2024.

Best Publications

  • Enhanced LSTM for Natural Language Inference

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

  • ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

    Xin Wang;Junichi Yamagishi;Junichi Yamagishi;Massimiliano Todisco;Héctor Delgado

  • The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods

    Jaime Lorenzo-Trueba;Junichi Yamagishi;Tomoki Toda;Daisuke Saito

  • Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends

    Zhen-Hua Ling;Shi-Yin Kang;Heiga Zen;Andrew Senior

  • Neural Natural Language Inference Models Enhanced with External Knowledge

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Diana Inkpen

  • Voice conversion using deep neural networks with layer-wise generative training

    Ling-Hui Chen;Zhen-Hua Ling;Li-Juan Liu;Li-Rong Dai

  • Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis

    J. Yamagishi;T. Nose;H. Zen;Zhen-Hua Ling

  • Learning Latent Representations for Style Control and Transfer in End-to-end Speech Synthesis

    Ya-Jie Zhang;Shifeng Pan;Lei He;Zhen-Hua Ling

  • Modeling Spectral Envelopes Using Restricted Boltzmann Machines and Deep Belief Networks for Statistical Parametric Speech Synthesis

    Zhen-Hua Ling;Li Deng;Dong Yu

  • Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots

    Jia-Chen Gu;Tianda Li;Quan Liu;Zhen-Hua Ling

  • Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints

    Quan Liu;Hui Jiang;Si Wei;Zhen-Hua Ling

  • USTC System for Blizzard Challenge 2006 an Improved HMM-based Speech Synthesis Method

    Zhen-Hua Ling;Yi-Jian Wu;Yu-Ping Wang;Long Qin

  • Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

    Zhi-Xiu Ye;Zhen-Hua Ling

  • WaveNet Vocoder with Limited Training Data for Voice Conversion.

    Li-Juan Liu;Zhen-Hua Ling;Yuan Jiang;Ming Zhou

  • Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

    Zhi-Xiu Ye;Zhen-Hua Ling

  • Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion.

    Yi Zhao;Wen-Chin Huang;Xiaohai Tian;Junichi Yamagishi

  • Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference.

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

  • Integrating Articulatory Features Into HMM-Based Parametric Speech Synthesis

    Zhen-Hua Ling;K. Richmond;J. Yamagishi;Ren-Hua Wang

  • Non-Parallel Sequence-to-Sequence Voice Conversion With Disentangled Linguistic and Speaker Representations

    Jing-Xuan Zhang;Zhen-Hua Ling;Li-Rong Dai

  • Sequence-to-Sequence Acoustic Modeling for Voice Conversion

    Jing-Xuan Zhang;Zhen-Hua Ling;Li-Juan Liu;Yuan Jiang

  • Deep Learning for Acoustic Modeling in Parametric Speech Generation

    Zhen-Hua Ling;Shi-yin Kang;Heiga Zen;Andrew Senior

Frequent Co-Authors

Li-Rong Dai
Li-Rong Dai University of Science and Technology of China
Junichi Yamagishi
Junichi Yamagishi National Institute of Informatics
Xiaodan Zhu
Xiaodan Zhu Queen's University
Tomoki Toda
Tomoki Toda Nagoya University
Hui Jiang
Hui Jiang York University
Tomi Kinnunen
Tomi Kinnunen University of Eastern Finland
Diana Inkpen
Diana Inkpen University of Ottawa
Jun Du
Jun Du University of Science and Technology of China
Li Deng
Li Deng Citadel
Lei He
Lei He University of California, Los Angeles

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