World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
104
Citations
47476
World Ranking
308
National Ranking
169

Research.com Recognitions

  • 2016 - Fellow, National Academy of Inventors
  • 2009 - IEEE Fellow For contributions to human-centric multimodal signal processing and applications
  • 2009 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Shrikanth S. Narayanan is affiliated with the University of Southern California in the United States. Their research spans multiple disciplines with a primary focus on computer science and psychology, integrating elements of artificial intelligence, signal processing, and cognitive neuroscience. Their work is especially relevant to areas such as speech recognition, audio processing, and mental health research.

The scientist has contributed extensively to both main fields and subfields of study, with notable publications in:

  • Computer Science (222 publications)
  • Psychology (102 publications)

Within subfields, their work covers:

  • Artificial Intelligence (114 publications)
  • Signal Processing (76 publications)
  • Experimental and Cognitive Psychology (54 publications)
  • Computer Vision and Pattern Recognition (29 publications)
  • Cognitive Neuroscience (23 publications)

Their primary research topics include:

  • Speech Recognition and Synthesis (88 publications)
  • Speech and Audio Processing (80 publications)
  • Music and Audio Processing (68 publications)
  • Mental Health Research Topics (34 publications)
  • Emotion and Mood Recognition (32 publications)
  • Topic Modeling (30 publications)
  • Phonetics and Phonology Research (26 publications)

Frequent publication venues for the scientist are:

  • arXiv (Cornell University), 86 publications
  • IEEE Journal of Selected Topics in Signal Processing, 11 publications
  • Computer Speech & Language, 8 publications
  • The Journal of the Acoustical Society of America, 7 publications
  • PLoS ONE, 6 publications

Prominent co-authors who have collaborated frequently with Shrikanth S. Narayanan include:

  • Tiantian Feng (27 co-authored works)
  • David C. Atkins (16 co-authored works)
  • Krishna Somandepalli (15 co-authored works)
  • Kristina Lerman (14 co-authored works)
  • Nikolaos Flemotomos (13 co-authored works)

Selected recent papers illustrate the scientist's interdisciplinary focus on speech, language, and mental health technologies:

  • Machine learning and natural language processing in psychotherapy research: Alliance as example use case, 2020, Journal of Counseling Psychology
  • TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers, 2020, Scientific Data
  • Clinical state tracking in serious mental illness through computational analysis of speech, 2020, PLoS ONE
  • Automated evaluation of psychotherapy skills using speech and language technologies, 2021, Behavior Research Methods
  • Computational Media Intelligence: Human-Centered Machine Analysis of Media, 2021, Proceedings of the IEEE

The scientist has been recognized with several awards, including:

  • Fellow of the IEEE, awarded in 2009, for contributions to human-centric multimodal signal processing and applications
  • Fellow of the American Association for the Advancement of Science (AAAS), 2009
  • Fellow of the National Academy of Inventors, 2016

Best Publications

  • IEMOCAP: interactive emotional dyadic motion capture database

    Carlos Busso;Murtaza Bulut;Chi Chun Lee;Abe Kazemzadeh

  • The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

    Florian Eyben;Klaus R. Scherer;Bjorn W. Schuller;Johan Sundberg

  • Toward detecting emotions in spoken dialogs

    Chul Min Lee;S.S. Narayanan

  • Analysis of emotion recognition using facial expressions, speech and multimodal information

    Carlos Busso;Zhigang Deng;Serdar Yildirim;Murtaza Bulut

  • Acoustics of children's speech: developmental changes of temporal and spectral parameters.

    Sungbok Lee;Alexandros Potamianos;Shrikanth Narayanan

  • Emotion recognition using a hierarchical binary decision tree approach

    Chi-Chun Lee;Emily Mower;Carlos Busso;Sungbok Lee

  • Environmental Sound Recognition With Time–Frequency Audio Features

    S. Chu;S. Narayanan;C.-C.J. Kuo

  • Emotion Recognition System

    Shrikanth S. Narayanan

  • The INTERSPEECH 2010 Paralinguistic Challenge

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Felix Burkhardt

  • A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle

    Hao Wang;Dogan Can;Abe Kazemzadeh;François Bar

  • System and method for processing speech recognition

    Richard C. Rose;Sarangarajan Pathasarathy;Aaron Edward Rosenberg;Shrikanth Sambasivan Narayanan

  • Method of using a natural language interface to retrieve information from one or more data resources

    Esther Levin;Shrikanth Sambasivan Narayanan;Roberto Pieraccini;Ilija Zeljkovic

  • The Vera am Mittag German audio-visual emotional speech database

    M. Grimm;K. Kroschel;S. Narayanan

  • System and method of performing user-specific automatic speech recognition

    Bojana Gajic;Shrikanth Sambasivan Narayanan;Sarangarajan Parthasarathy;Richard Cameron Rose

  • An approach to real-time magnetic resonance imaging for speech production.

    Shrikanth Narayanan;Krishna Nayak;Sungbok Lee;Abhinav Sethy

  • Primitives-based evaluation and estimation of emotions in speech

    Michael Grimm;Kristian Kroschel;Emily Mower;Shrikanth Narayanan

  • Analysis of Emotionally Salient Aspects of Fundamental Frequency for Emotion Detection

    C. Busso;Sungbok Lee;S. Narayanan

  • Paralinguistics in speech and language-State-of-the-art and the challenge

    BjöRn Schuller;Stefan Steidl;Anton Batliner;Felix Burkhardt

  • Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language

    S. Narayanan;P. G. Georgiou

  • Emotion recognition based on phoneme classes

    Chul Min Lee;Serdar Yildirim;Murtaza Bulut;Abe Kazemzadeh

  • A review of speaker diarization: Recent advances with deep learning

    Tae Jin Park;Naoyuki Kanda;Dimitrios Dimitriadis;Kyu J. Han

Frequent Co-Authors

Panayiotis G. Georgiou
Panayiotis G. Georgiou University of Southern California
Sungbok Lee
Sungbok Lee University of Southern California
Louis Goldstein
Louis Goldstein University of Southern California
David C. Atkins
David C. Atkins University of Washington
Dani Byrd
Dani Byrd University of Southern California
Alexandros Potamianos
Alexandros Potamianos National Technical University of Athens
Carlos Busso
Carlos Busso The University of Texas at Dallas
Krishna S. Nayak
Krishna S. Nayak University of Southern California
Abeer Alwan
Abeer Alwan University of California, Los Angeles
Zac E. Imel
Zac E. Imel University of Utah

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