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Stefan Scherer

Stefan Scherer

D-Index & Metrics

Computer Science

D-Index
42
Citations
8970
World Ranking
8279
National Ranking
3548

Overview

Stefan Scherer is affiliated with Meta in the United States. Their research spans multiple disciplines within the arts and humanities, with a focus on literature, social psychology, clinical psychology, education, and artificial intelligence.

The main fields of study in which Scherer has contributed include:

  • Arts and Humanities

Within these fields, the scientist has worked in several subfields such as:

  • Literature and Literary Theory
  • Social Psychology
  • Clinical Psychology
  • Education
  • Artificial Intelligence

Scherer's research topics include:

  • German Literature and Culture Studies
  • Communication in Education and Healthcare
  • European History and Politics
  • German History and Society
  • Historical, Literary, and Cultural Studies
  • Cleft Lip and Palate Research
  • Cervical Cancer and HPV Research

Their recent publications are diverse, covering both clinical and technological applications as well as social and emotional skill development. Key papers include:

  • Convolutional Neural Network Models for Automatic Preoperative Severity Assessment in Unilateral Cleft Lip (2021), Plastic & Reconstructive Surgery
  • Training public speaking with virtual social interactions: effectiveness of real-time feedback and delayed feedback (2021), Journal on Multimodal User Interfaces
  • Social and Emotional Skills Training with Embodied Moxie (2020), arXiv (Cornell University)
  • Multimodal Analysis and Assessment of Therapist Empathy in Motivational Interviews (2023), INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
  • Machine learning for semi-automated scoping reviews (2023), Intelligent Systems with Applications

Frequent publication venues for Scherer's work include:

  • arXiv (Cornell University)
  • Plastic & Reconstructive Surgery
  • INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
  • Journal on Multimodal User Interfaces
  • Intelligent Systems with Applications

Their frequent coauthors reflect collaboration across different disciplines and include:

  • Sharon Mozgai
  • Cari Kaurloto
  • Jade Winn
  • Andrew M. Leeds
  • Dirk Heylen

Best Publications

  • A review of depression and suicide risk assessment using speech analysis

    Nicholas Cummins;Stefan Scherer;Jarek Krajewski;Sebastian Schnieder

  • COVAREP — A collaborative voice analysis repository for speech technologies

    Gilles Degottex;John Kane;Thomas Drugman;Tuomo Raitio

  • AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge

    Michel Valstar;Jonathan Gratch;Björn Schuller;Fabien Ringeval

  • SimSensei kiosk: a virtual human interviewer for healthcare decision support

    David DeVault;Ron Artstein;Grace Benn;Teresa Dey

  • The Distress Analysis Interview Corpus of human and computer interviews

    Jonathan Gratch;Ron Artstein;Gale Lucas;Giota stratou

  • AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge

    Fabien Ringeval;Björn Schuller;Michel Valstar;Jonathan Gratch

  • Virtual character performance from speech

    Stacy Marsella;Yuyu Xu;Margaux Lhommet;Andrew Feng

  • Cicero - Towards a Multimodal Virtual Audience Platform for Public Speaking Training

    Ligia Maria Batrinca;Giota Stratou;Ari Shapiro;Louis-Philippe Morency

  • Affect-LM: A Neural Language Model for Customizable Affective Text Generation

    Sayan Ghosh;Mathieu Chollet;Eugene Laksana;Louis Philippe Morency

  • Multiple classifier systems for the classificatio of audio-visual emotional states

    Michael Glodek;Stephan Tschechne;Georg Layher;Martin Schels

  • Automatic behavior descriptors for psychological disorder analysis

    Stefan Scherer;Giota Stratou;Marwa Mahmoud;Jill Boberg

  • Investigating Voice Quality as a Speaker-Independent Indicator of Depression and PTSD

    Stefan Scherer;Giota Stratou;Jonathan Gratch;Louis-Philippe Morency

  • Exploring feedback strategies to improve public speaking: an interactive virtual audience framework

    Mathieu Chollet;Torsten Wörtwein;Louis-Philippe Morency;Ari Shapiro

  • Investigating automatic measurements of prosodic accommodation and its dynamics in social interaction

    Céline De Looze;Stefan Scherer;Brian Vaughan;Nick Campbell

  • Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews

    Stefan Scherer;Gale M. Lucas;Jonathan Gratch;Albert Skip Rizzo

  • Representation Learning for Speech Emotion Recognition

    Sayan Ghosh;Eugene Laksana;Louis-Philippe Morency;Stefan Scherer

  • A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial

    John P. Pestian;Michael Sorter;Brian Connolly;Kevin Bretonnel Cohen

  • Automatic audiovisual behavior descriptors for psychological disorder analysis

    Stefan Scherer;Giota Stratou;Gale M. Lucas;Marwa Mahmoud;Marwa Mahmoud

  • Learning representations of emotional speech with deep convolutional generative adversarial networks

    Jonathan Chang;Stefan Scherer

  • Multimodal Public Speaking Performance Assessment

    Torsten Wörtwein;Mathieu Chollet;Boris Schauerte;Louis-Philippe Morency

  • Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification

    Stefan Scherer;John Kane;Christer Gobl;Friedhelm Schwenker

Frequent Co-Authors

Louis-Philippe Morency
Louis-Philippe Morency Carnegie Mellon University
Friedhelm Schwenker
Friedhelm Schwenker University of Ulm
Jonathan Gratch
Jonathan Gratch University of Southern California
Albert Rizzo
Albert Rizzo University of Southern California
Günther Palm
Günther Palm University of Ulm
Stacy Marsella
Stacy Marsella Northeastern University
Nick Campbell
Nick Campbell Trinity College Dublin
David Traum
David Traum University of Southern California
Heiko Neumann
Heiko Neumann University of Ulm
Jeffrey F. Cohn
Jeffrey F. Cohn University of Pittsburgh

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