D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index 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. Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 4,704 204 World Ranking 7378 National Ranking 99

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Speech recognition

His primary areas of study are Artificial intelligence, Speech recognition, Pattern recognition, Feature extraction and Artificial neural network. His research in Artificial intelligence intersects with topics in Frame and Computer vision. Eng Siong Chng focuses mostly in the field of Speech recognition, narrowing it down to matters related to Natural language processing and, in some cases, Vocabulary.

His work on Dimensionality reduction as part of general Pattern recognition study is frequently linked to Linear combination, bridging the gap between disciplines. His research in Feature extraction tackles topics such as Hidden Markov model which are related to areas like Rule-based system. His Artificial neural network research includes elements of Subspace topology, Algorithm and Robustness.

His most cited work include:

  • Regularized orthogonal least squares algorithm for constructing radial basis function networks (205 citations)
  • A learning-based approach to direction of arrival estimation in noisy and reverberant environments (169 citations)
  • Gradient radial basis function networks for nonlinear and nonstationary time series prediction (133 citations)

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

Eng Siong Chng mainly focuses on Speech recognition, Artificial intelligence, Pattern recognition, Natural language processing and Word error rate. His Mixture model research extends to the thematically linked field of Speech recognition. His Artificial intelligence study often links to related topics such as NIST.

His Pattern recognition research is multidisciplinary, relying on both Normalization, Feature, Robustness and Spectrogram. His Natural language processing research incorporates themes from Context, Vocabulary and Phone. He has included themes like Word, Reduction, Code-switching and Lexicon in his Language model study.

He most often published in these fields:

  • Speech recognition (63.30%)
  • Artificial intelligence (53.18%)
  • Pattern recognition (25.47%)

What were the highlights of his more recent work (between 2018-2021)?

  • Speech recognition (63.30%)
  • Embedding (5.62%)
  • Word error rate (15.73%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Speech recognition, Embedding, Word error rate, Language model and Signal. His Speech recognition research is multidisciplinary, incorporating elements of Time domain, PESQ, End-to-end principle, Encoder and Code-switching. His work deals with themes such as Data modeling, Boosting, Reduction and Transformer, which intersect with Word error rate.

In his study, which falls under the umbrella issue of Signal, Phone, Language identification and Vocabulary is strongly linked to Utterance. His WordNet study is related to the wider topic of Artificial intelligence. The various areas that Eng Siong Chng examines in his Artificial intelligence study include Noise measurement and Readability.

Between 2018 and 2021, his most popular works were:

  • On the End-to-End Solution to Mandarin-English Code-Switching Speech Recognition. (27 citations)
  • Optimization of Speaker Extraction Neural Network with Magnitude and Temporal Spectrum Approximation Loss (19 citations)
  • Time-Domain Speaker Extraction Network (15 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Speech recognition

Eng Siong Chng mainly investigates Speech recognition, Embedding, Signal, Encoder and Time domain. The concepts of his Speech recognition study are interwoven with issues in PESQ, Word and Code-switching. His PESQ research also works with subjects such as

  • Signal reconstruction which intersects with area such as Sound recording and reproduction, Source separation, Artificial neural network, Context and Phase,
  • Frequency domain that intertwine with fields like Cocktail party effect, Speech processing, Decoding methods and Feature extraction.

His Code-switching study combines topics in areas such as End-to-end principle, Utterance and Vocabulary. His Encoder research includes themes of Window, Pipeline and Speech coding. His Speaker verification study integrates concerns from other disciplines, such as Reduction and Speaker diarisation.

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

Regularized orthogonal least squares algorithm for constructing radial basis function networks

S. Chen;E. S. Chng;K. Alkadhimi.
International Journal of Control (1996)

315 Citations

Gradient radial basis function networks for nonlinear and nonstationary time series prediction

E.S. Chng;S. Chen;B. Mulgrew.
IEEE Transactions on Neural Networks (1996)

225 Citations

Vulnerability of speaker verification systems against voice conversion spoofing attacks: The case of telephone speech

Tomi Kinnunen;Zhi-Zheng Wu;Kong Aik Lee;Filip Sedlak.
international conference on acoustics, speech, and signal processing (2012)

184 Citations

A learning-based approach to direction of arrival estimation in noisy and reverberant environments

Xiong Xiao;Shengkui Zhao;Xionghu Zhong;Douglas L. Jones.
international conference on acoustics, speech, and signal processing (2015)

169 Citations

Exemplar-based sparse representation with residual compensation for voice conversion

Zhizheng Wu;Tuomas Virtanen;Eng Siong Chng;Haizhou Li.
IEEE Transactions on Audio, Speech, and Language Processing (2014)

160 Citations

Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on

Tomi Kinnunen;Zhizheng Wu;Kong Aik Lee;Filip Sedlak.
international conference on acoustics, speech, and signal processing (2012)

146 Citations

A first speech recognition system for Mandarin-English code-switch conversational speech

Ngoc Thang Vu;Dau-Cheng Lyu;Jochen Weiner;Dominic Telaar.
international conference on acoustics, speech, and signal processing (2012)

137 Citations

Synthetic speech detection using temporal modulation feature

Zhizheng Wu;Xiong Xiao;Eng Siong Chng;Haizhou Li.
international conference on acoustics, speech, and signal processing (2013)

113 Citations

Sports highlight detection from keyword sequences using HMM

Jinjun Wang;Changsheng Xu;Engsiong Chng;Qi Tian.
international conference on multimedia and expo (2004)

113 Citations

A study on spoofing attack in state-of-the-art speaker verification: the telephone speech case

Zhizheng Wu;Tomi Kinnunen;Eng Siong Chng;Haizhou Li.
asia pacific signal and information processing association annual summit and conference (2012)

112 Citations

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

Contact us

Best Scientists Citing Eng Siong Chng

Haizhou Li

Haizhou Li

Chinese University of Hong Kong, Shenzhen

Publications: 114

Sheng Chen

Sheng Chen

University of Southampton

Publications: 75

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 39

Yu Tsao

Yu Tsao

Center for Information Technology

Publications: 35

Tomi Kinnunen

Tomi Kinnunen

University of Eastern Finland

Publications: 33

Jinyu Li

Jinyu Li

Microsoft (United States)

Publications: 24

Hsin-Min Wang

Hsin-Min Wang

Academia Sinica

Publications: 24

Nicholas Evans

Nicholas Evans

EURECOM

Publications: 23

Bernard Mulgrew

Bernard Mulgrew

University of Edinburgh

Publications: 21

Junichi Yamagishi

Junichi Yamagishi

National Institute of Informatics

Publications: 21

Tomoki Toda

Tomoki Toda

Nagoya University

Publications: 20

Shinji Watanabe

Shinji Watanabe

Carnegie Mellon University

Publications: 18

Nima Mesgarani

Nima Mesgarani

Columbia University

Publications: 18

Changsheng Xu

Changsheng Xu

Chinese Academy of Sciences

Publications: 18

Satoshi Nakamura

Satoshi Nakamura

Nara Institute of Science and Technology

Publications: 16

Helen Meng

Helen Meng

Chinese University of Hong Kong

Publications: 16

Something went wrong. Please try again later.