Zhen-Hua Ling

University of Science and Technology of China
China

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 41 Citations 6,266 244 World Ranking 5567 National Ranking 537

Overview

What are the main themes of his work throughout his whole career to date

In Movement (music), Zhen-Hua Ling works on issues like Acoustics, which are connected to Identity (music). He regularly links together related areas like Acoustics in his Identity (music) studies. His Artificial intelligence study typically links adjacent topics like Discriminative model. He regularly ties together related areas like Artificial intelligence in his Discriminative model studies. His research links Speaker verification with Speech recognition. Zhen-Hua Ling combines Natural language processing and Word error rate in his studies. Zhen-Hua Ling performs multidisciplinary studies into Word error rate and Natural language processing in his work. He conducted interdisciplinary study in his works that combined Linguistics and Utterance. Utterance and Linguistics are two areas of study in which Zhen-Hua Ling engages in interdisciplinary research.

Zhen-Hua Ling most often published in these fields:

Artificial intelligence (100.00%)
Speech recognition (66.67%)
Natural language processing (66.67%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Enhanced LSTM for Natural Language Inference

Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei.
meeting of the association for computational linguistics (2017)

752 Citations

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.
IEEE Signal Processing Magazine (2015)

267 Citations

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

J. Yamagishi;T. Nose;H. Zen;Zhen-Hua Ling.
IEEE Transactions on Audio, Speech, and Language Processing (2009)

242 Citations

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

Ling-Hui Chen;Zhen-Hua Ling;Li-Juan Liu;Li-Rong Dai.
IEEE Transactions on Audio, Speech, and Language Processing (2014)

228 Citations

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

Jaime Lorenzo-Trueba;Junichi Yamagishi;Tomoki Toda;Daisuke Saito.
The Speaker and Language Recognition Workshop (Odyssey 2018) (2018)

225 Citations

Neural Natural Language Inference Models Enhanced with External Knowledge

Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Diana Inkpen.
meeting of the association for computational linguistics (2018)

185 Citations

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

Zhen-Hua Ling;Li Deng;Dong Yu.
IEEE Transactions on Audio, Speech, and Language Processing (2013)

171 Citations

Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints

Quan Liu;Hui Jiang;Si Wei;Zhen-Hua Ling.
international joint conference on natural language processing (2015)

145 Citations

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

Zhen-Hua Ling;Yi-Jian Wu;Yu-Ping Wang;Long Qin.
(2006)

143 Citations

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

Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei.
arXiv: Computation and Language (2016)

126 Citations

If you think any of the details on this page are incorrect, let us know.

Frequent Co-Authors

External Links

Personal Website for Zhen-Hua Ling