World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
17737
World Ranking
1983
National Ranking
1002

Overview

Elizabeth Shriberg is affiliated with the International Computer Science Institute in the United States. Their research spans multiple disciplines, primarily focusing on psychology and computer science.

The main fields of study that characterize their work include:

  • Psychology
  • Computer Science

Within these domains, Shriberg's work further covers various subfields such as:

  • Experimental and Cognitive Psychology
  • Social Psychology
  • Signal Processing
  • Artificial Intelligence
  • Applied Psychology

The key research topics addressed in their publications are:

  • Emotion and Mood Recognition
  • Mental Health via Writing
  • Digital Mental Health Interventions
  • Music and Audio Processing
  • Sentiment Analysis and Opinion Mining
  • Speech and Audio Processing
  • Mental Health Research Topics

Elizabeth Shriberg's recent publications illustrate a focus on mental health and emotion recognition utilizing speech and language processing technologies. Selected works include:

  • Feasibility of a Machine Learning-Based Smartphone Application in Detecting Depression and Anxiety in a Generally Senior Population (2022, Frontiers in Psychology)
  • Sentiment-Aware Automatic Speech Recognition Pre-Training for Enhanced Speech Emotion Recognition (2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing)
  • Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language (2022, Interspeech 2022)
  • Confidence Estimation for Speech Emotion Recognition Based on the Relationship Between Emotion Categories and Primitives (2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing)
  • Sentiment-Aware Automatic Speech Recognition Pre-Training for Enhanced Speech Emotion Recognition (2022, arXiv [Cornell University])

The venues where Shriberg regularly publishes also reflect their interdisciplinary approach, with frequent contributions to:

  • arXiv (Cornell University)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing
  • Frontiers in Psychology
  • Interspeech 2022
  • JMIR AI

Collaboration is notable in their research network, with frequent co-authors including:

  • Amir Harati
  • Piotr Chlebek
  • Yang Lü
  • Tomasz Rutowski
  • Viktor Rozgić

Best Publications

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

    Andreas Stolcke;Noah Coccaro;Rebecca Bates;Paul Taylor

  • The ICSI Meeting Corpus

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

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

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

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

    Jeremy Ang;Rajdip Dhillon;Ashley Krupski;Elizabeth Shriberg

  • The ICSI Meeting Recorder Dialog Act (MRDA) Corpus

    Elizabeth Shriberg;Rajdip Dhillon;Sonali Bhagat;Jeremy Ang

  • To ‘errrr’ is human: ecology and acoustics of speech disfluencies

    Elizabeth Shriberg

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

    Elizabeth Shriberg;Andreas Stolcke;Daniel Jurafsky;Noah Coccaro

  • Expanding the scope of the ATIS task: the ATIS-3 corpus

    Deborah A. Dahl;Madeleine Bates;Michael Brown;William Fisher

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

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

  • 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 CALO Meeting Assistant System

    G Tur;A Stolcke;L Voss;S Peters

  • Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies

    Michel Galley;Kathleen McKeown;Julia Hirschberg;Elizabeth Shriberg

  • Automatic dialog act segmentation and classification in multiparty meetings

    J. Ang;Yang Liu;E. Shriberg

  • Observations on overlap: findings and implications for automatic processing of multi-party conversation.

    Elizabeth Shriberg;Andreas Stolcke;Don Baron

  • The CALO meeting speech recognition and understanding system

    G. Tur;A. Stolcke;L. Voss;J. Dowding

  • Phonetic Consequences of Speech Disfluency

    Elizabeth E. Shriberg

  • Spontaneous speech: how people really talk and why engineers should care.

    Elizabeth Shriberg

  • Modeling dynamic prosodic variation for speaker verification.

    M. Kemal Sönmez;Elizabeth Shriberg;Larry P. Heck;Mitchel Weintraub

  • Automatic linguistic segmentation of conversational speech

    A. Stolcke;E. Shriberg

  • 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

Luciana Ferrer
Luciana Ferrer University of Buenos Aires
Yang Liu
Yang Liu Nanyang Technological University
Dilek Hakkani-Tur
Dilek Hakkani-Tur University of Illinois at Urbana-Champaign
Gokhan Tur
Gokhan Tur Amazon (United States)
Mari Ostendorf
Mari Ostendorf University of Washington
Julia Hirschberg
Julia Hirschberg Columbia University
Larry P. Heck
Larry P. Heck Georgia Institute of Technology
Horacio Franco
Horacio Franco SRI International
Dan Jurafsky
Dan Jurafsky Stanford University

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