World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
11789
World Ranking
5049
National Ranking
681

Frank K. Soong publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Frank K. Soong sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 359 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Frank K. Soong D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Frank K. Soong sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2010 - IEEE Fellow For contributions to speech processing

Overview

Frank K. Soong is affiliated with Microsoft Research Asia (China) and has made significant contributions to the field of computer science, particularly in speech and audio processing. Their research spans a wide range of topics centered on speech recognition and synthesis, along with natural language processing techniques and cognitive neuroscience aspects related to EEG and brain-computer interfaces.

Their main fields of study include:

  • Computer Science

Within computer science, their subfields of study are:

  • Artificial Intelligence
  • Signal Processing
  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience
  • Computer Vision and Pattern Recognition

The primary topics of their work cover the following areas:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Natural Language Processing Techniques
  • Music and Audio Processing
  • Topic Modeling
  • Phonetics and Phonology Research
  • EEG and Brain-Computer Interfaces

Frequent coauthors collaborating with Soong include:

  • Lei He
  • Lei Xie
  • Shaoguang Mao
  • Xi Wang
  • Tao Qin

They have published extensively in notable venues, with frequent contributions to:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Neural Networks
  • Interspeech 2022

Some of the recent papers authored or coauthored by Frank K. Soong include:

  • "A Survey on Neural Speech Synthesis," 2021, arXiv (Cornell University)
  • "NaturalSpeech: End-to-End Text-to-Speech Synthesis With Human-Level Quality," 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality," 2022, arXiv (Cornell University)
  • "Dual-Threshold-Based Microstate Analysis on Characterizing Temporal Dynamics of Affective Process and Emotion Recognition From EEG Signals," 2021, Frontiers in Neuroscience
  • "Cycle consistent network for end-to-end style transfer TTS training," 2021, Neural Networks

Frank K. Soong was recognized as an IEEE Fellow in 2010 for contributions to speech processing.

Best Publications

  • Line spectrum pair (LSP) and speech data compression

    F. Soong;B. Juang

  • TTS Synthesis with Bidirectional LSTM based Recurrent Neural Networks

    Yuchen Fan;Yao Qian;Feng-Long Xie;Frank K. Soong

  • High performance connected digit recognition using hidden Markov models

    L.R. Rabiner;J.G. Wilpon;F.K. Soong

  • Automatic Speech and Speaker Recognition: Advanced Topics

    Chin-Hui Lee;Frank K. Soong;Kuldip K. Paliwal

  • A Tree.Trellis Based Fast Search for Finding the N Best Sentence Hypotheses in Continuous Speech Recognition

    Unknown

  • Voice persona service for embedding text-to-speech features into software programs

    Yusheng Li;Min Chu;Xin Zou;Frank Kao-Ping Soong

  • Identifying language of origin for words using estimates of normalized appearance frequency

    Yi Ning Chen;Min Chu;Jiali You;Frank Kao-Ping Soong

  • The use of cohort normalized scores for speaker verification

    Unknown

  • On the training aspects of Deep Neural Network (DNN) for parametric TTS synthesis

    Yao Qian;Yuchen Fan;Wenping Hu;Frank K. Soong

  • Handwriting-based user interface for correction of speech recognition errors

    Lijuan Wang;Frank Kao-Ping Soong

  • Improved mispronunciation detection with deep neural network trained acoustic models and transfer learning based logistic regression classifiers

    Wenping Hu;Wenping Hu;Yao Qian;Frank K. Soong;Yong Wang

  • Unnatural prosody detection in speech synthesis

    Yong Zhao;Frank Kao-Ping Soong;Min Chu;Lijuan Wang

  • Optimal quantization of LSP parameters

    F.K. Soong;B.-H. Juang

  • Automatic Speech and Speaker Recognition

    Chin-Hui Lee;Frank K. Soong;Kuldip K. Paliwal

  • Report: A vector quantization approach to speaker recognition

    Frank K. Soong;Aaron E. Rosenberg;Bling-Hwang Juang;Lawrence R. Rabiner

  • A Survey on Neural Speech Synthesis.

    Xu Tan;Tao Qin;Frank K. Soong;Tie-Yan Liu

  • A high quality subband speech coder with backward adaptive predictor and optimal time-frequency bit assignment

    F. Soong;R. Cox;N. Jayant

  • Cepstral channel normalization techniques for HMM-based speaker verification.

    Aaron E. Rosenberg;Chin-Hui Lee;Frank K. Soong

  • Comparative study of several distortion measures for speech recognition

    N. Nocerino;F. Soong;L. Rabiner;D. Klatt

  • On the automatic segmentation of speech signals

    Unknown

  • A segment model based approach to speech recognition

    Chin-Hui Lee;F.K. Soong;Bing-Hwang Juang

  • Evaluation of a vector quantization talker recognition system in text independent and text dependent modes

    A.E. Rosenberg;F.K. Soong

  • Multi-speaker modeling and speaker adaptation for DNN-based TTS synthesis

    Yuchen Fan;Yao Qian;Frank K. Soong;Lei He

  • Voice Activity Detection Based on an Unsupervised Learning Framework

    Dongwen Ying;Yonghong Yan;Jianwu Dang;F. K. Soong

Frequent Co-Authors

Lei He
Lei He University of California, Los Angeles
Hui Jiang
Hui Jiang York University
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Helen Meng
Helen Meng Chinese University of Hong Kong
Hai Zhao
Hai Zhao Shanghai Jiao Tong University
Jun Du
Jun Du University of Science and Technology of China
Li-Rong Dai
Li-Rong Dai University of Science and Technology of China
Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Aaron E. Rosenberg
Aaron E. Rosenberg AT&T (United States)
Biing-Hwang Juang
Biing-Hwang Juang Georgia Institute of Technology

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