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Andreas Stolcke

Andreas Stolcke

D-Index & Metrics

Computer Science

D-Index
80
Citations
29719
World Ranking
1068
National Ranking
573

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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