World's Best Scientists 2026 revealed!
Andreas Stolcke

Andreas Stolcke

D-Index & Metrics

Computer Science

D-Index
80
Citations
29719
World Ranking
1068
National Ranking
574

Andreas Stolcke 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 Andreas Stolcke 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: 310 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Andreas Stolcke 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 Andreas Stolcke 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: 80 D-Index — 93rd percentile

93% 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

  • 2011 - IEEE Fellow For contributions to statistical language modeling, automatic speech recognition and understanding, and automatic speaker recognition

Overview

Andreas Stolcke is affiliated with Uniphore in the United States and has contributed extensively to the field of computer science, particularly in artificial intelligence and signal processing. Their research spans diverse topics including speech recognition and synthesis, speech and audio processing, as well as natural language processing techniques.

The scientist's key research topics include:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Music and Audio Processing
  • Natural Language Processing Techniques
  • Topic Modeling
  • Adversarial Robustness in Machine Learning
  • Hermeneutics and Narrative Identity

Their work appears predominantly in venues such as arXiv (Cornell University), ICASSP 2022 (IEEE International Conference on Acoustics, Speech and Signal Processing), Interspeech 2022, the 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), and the 2022 IEEE Spoken Language Technology Workshop (SLT).

Some recent papers authored by the scientist include:

  • RescoreBERT: Discriminative Speech Recognition Rescoring With Bert, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Toward Fairness in Speech Recognition: Discovery and mitigation of performance disparities, 2022, Interspeech 2022
  • Improving Fairness in Speaker Verification via Group-Adapted Fusion Network, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Contrastive-mixup Learning for Improved Speaker Verification, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • OpenFEAT: Improving Speaker Identification by Open-Set Few-Shot Embedding Adaptation with Transformer, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Frequent co-authors collaborating with Andreas Stolcke include Ivan Bulyko, Ankur Gandhe, Jasha Droppo, Chao-Han Huck Yang, and Yile Gu.

Their work focuses on areas within:

  • Artificial Intelligence
  • Signal Processing
  • General Health Professions
  • Experimental and Cognitive Psychology
  • Philosophy

In 2011, Andreas Stolcke was recognized as an IEEE Fellow for contributions to statistical language modeling, automatic speech recognition and understanding, and automatic speaker recognition.

Best Publications

  • SRILM – An Extensible Language Modeling Toolkit

    Andreas Stolcke

  • Dialogue act modeling for automatic tagging and recognition of conversational speech

    Andreas Stolcke;Noah Coccaro;Rebecca Bates;Paul Taylor

  • Finding consensus in speech recognition: word error minimization and other applications of confusion networks☆

    Lidia Mangu;Eric Brill;Andreas Stolcke

  • The ICSI Meeting Corpus

    A. Janin;D. Baron;J. Edwards;D. Ellis

  • The Microsoft 2017 Conversational Speech Recognition System

    W. Xiong;L. Wu;F. Alleva;J. Droppo

  • Achieving Human Parity in Conversational Speech Recognition

    Wayne Xiong;Jasha Droppo;Xuedong Huang;Frank Seide

  • Prosody-based automatic segmentation of speech into sentences and topics

    Elizabeth Shriberg;Andreas Stolcke;Dilek Hakkani-Tür;Gükhan Tür

  • Within-class covariance normalization for SVM-based speaker recognition.

    Andrew O. Hatch;Sachin S. Kajarekar;Andreas Stolcke

  • Prosody-based automatic detection of annoyance and frustration in human-computer dialog.

    Jeremy Ang;Rajdip Dhillon;Ashley Krupski;Elizabeth Shriberg

  • An Introduction to Computational Networks and the Computational Network Toolkit

    Dong Yu;Adam Eversole;Mike Seltzer;Kaisheng Yao

  • An efficient probabilistic context-free parsing algorithm that computes prefix probabilities

    Andreas Stolcke

  • Entropy-based Pruning of Backoff Language Models

    Andreas Stolcke

  • Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech

    Elizabeth Shriberg;Andreas Stolcke;Daniel Jurafsky;Noah Coccaro

  • Enriching speech recognition with automatic detection of sentence boundaries and disfluencies

    Yang Liu;E. Shriberg;A. Stolcke;D. Hillard

  • Hidden Markov Model Induction by Bayesian Model Merging

    Andreas Stolcke;Stephen Omohundro

  • Inducing Probabilistic Grammars by Bayesian Model Merging

    Andreas Stolcke;Stephen M. Omohundro

  • Finding consensus among words : Lattice-based word error minimization

    Lidia Mangu;Eric Brill;Andreas Stolcke

  • Method and apparatus for tailoring the output of an intelligent automated assistant to a user

    Gokhan Tur;Horacio E. Franco;Elizabeth Shriberg;Gregory K. Myers

  • Modeling prosodic feature sequences for speaker recognition

    Elizabeth Shriberg;Elizabeth Shriberg;Luciana Ferrer;Luciana Ferrer;Sachin S. Kajarekar;Anand Venkataraman

  • The microsoft 2016 conversational speech recognition system

    W. Xiong;J. Droppo;X. Huang;F. Seide

  • Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech

    A. Stolcke;K. Ries;N. Coccaro;E. Shriberg

  • Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech

    E. Shriberg;R. Bates;A. Stolcke;P. Taylor

Frequent Co-Authors

Elizabeth Shriberg
Elizabeth Shriberg International Computer Science Institute
Luciana Ferrer
Luciana Ferrer University of Buenos Aires
Mari Ostendorf
Mari Ostendorf University of Washington
Yang Liu
Yang Liu Nanyang Technological University
Gokhan Tur
Gokhan Tur Amazon (United States)
Nelson Morgan
Nelson Morgan International Computer Science Institute
Dilek Hakkani-Tur
Dilek Hakkani-Tur University of Illinois at Urbana-Champaign
Jasha Droppo
Jasha Droppo Amazon (United States)
Chuck Wooters
Chuck Wooters International Computer Science Institute
Xuedong Huang
Xuedong Huang Microsoft (United States)

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