D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 90 Citations 32,925 797 World Ranking 257 National Ranking 157

Research.com Recognitions

Awards & Achievements

2016 - Fellow, National Academy of Inventors

2009 - Fellow of the American Association for the Advancement of Science (AAAS)

2009 - IEEE Fellow For contributions to human-centric multimodal signal processing and applications

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Speech recognition
  • Linguistics

Speech recognition, Artificial intelligence, Speech processing, Natural language processing and Pattern recognition are his primary areas of study. His Speech recognition study frequently links to related topics such as Valence. In his study, Speech production is inextricably linked to Computer vision, which falls within the broad field of Artificial intelligence.

Shrikanth S. Narayanan usually deals with Speech processing and limits it to topics linked to Audio signal processing and Abstraction. His Natural language processing research incorporates elements of Speech corpus and Spoken dialog systems. His Pattern recognition study combines topics in areas such as Time domain and Bayesian probability.

His most cited work include:

  • IEMOCAP: interactive emotional dyadic motion capture database (895 citations)
  • Toward detecting emotions in spoken dialogs (731 citations)
  • Analysis of emotion recognition using facial expressions, speech and multimodal information (617 citations)

What are the main themes of his work throughout his whole career to date?

Shrikanth S. Narayanan spends much of his time researching Speech recognition, Artificial intelligence, Natural language processing, Pattern recognition and Vocal tract. Speech processing, Speech production, Hidden Markov model, Word error rate and Speaker recognition are among the areas of Speech recognition where the researcher is concentrating his efforts. Shrikanth S. Narayanan does research in Artificial intelligence, focusing on Feature extraction specifically.

His study in Natural language processing is interdisciplinary in nature, drawing from both Speech corpus and Prosody. His work carried out in the field of Vocal tract brings together such families of science as Tongue, Articulation and Real-time MRI.

He most often published in these fields:

  • Speech recognition (50.31%)
  • Artificial intelligence (42.65%)
  • Natural language processing (17.36%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (42.65%)
  • Speech recognition (50.31%)
  • Task (6.41%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Artificial intelligence, Speech recognition, Task, Natural language processing and Speaker diarisation. The study incorporates disciplines such as Context, Machine learning and Pattern recognition in addition to Artificial intelligence. His Speech recognition research integrates issues from Embedding and Robustness.

The Task study combines topics in areas such as Human behavior and Spoken language. His Natural language processing research is multidisciplinary, incorporating elements of Annotation and Word. His Speaker diarisation research is multidisciplinary, incorporating perspectives in Encoder and Cluster analysis.

Between 2017 and 2021, his most popular works were:

  • NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning. (33 citations)
  • Irregularity-Aware Graph Fourier Transforms (32 citations)
  • A Computational Study of Expressive Facial Dynamics in Children with Autism (28 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Linguistics
  • Statistics

His main research concerns Speech recognition, Artificial intelligence, Task, Wearable computer and Speaker diarisation. His work deals with themes such as Embedding and Cluster analysis, which intersect with Speech recognition. His Artificial intelligence study combines topics from a wide range of disciplines, such as Context, Machine learning, Pattern recognition and Natural language processing.

His work is dedicated to discovering how Natural language processing, Word are connected with Emotion classification and other disciplines. His research in Wearable computer intersects with topics in Big Five personality traits, Applied psychology, Data set and Set. He interconnects Transcription, Encoder and Spectral clustering in the investigation of issues within Speaker diarisation.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Toward detecting emotions in spoken dialogs

Chul Min Lee;S.S. Narayanan.
IEEE Transactions on Speech and Audio Processing (2005)

1041 Citations

IEMOCAP: interactive emotional dyadic motion capture database

Carlos Busso;Murtaza Bulut;Chi Chun Lee;Abe Kazemzadeh.
language resources and evaluation (2008)

1023 Citations

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

Carlos Busso;Zhigang Deng;Serdar Yildirim;Murtaza Bulut.
international conference on multimodal interfaces (2004)

933 Citations

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

Sungbok Lee;Alexandros Potamianos;Shrikanth Narayanan.
Journal of the Acoustical Society of America (1999)

865 Citations

Emotion Recognition System

Shrikanth S. Narayanan.
Journal of the Acoustical Society of America (2013)

662 Citations

Environmental Sound Recognition With Time–Frequency Audio Features

S. Chu;S. Narayanan;C.-C.J. Kuo.
IEEE Transactions on Audio, Speech, and Language Processing (2009)

626 Citations

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.
(1998)

542 Citations

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

Florian Eyben;Klaus R. Scherer;Bjorn W. Schuller;Johan Sundberg.
IEEE Transactions on Affective Computing (2016)

536 Citations

The INTERSPEECH 2010 Paralinguistic Challenge

Björn W. Schuller;Stefan Steidl;Anton Batliner;Felix Burkhardt.
conference of the international speech communication association (2010)

495 Citations

The Vera am Mittag German audio-visual emotional speech database

M. Grimm;K. Kroschel;S. Narayanan.
international conference on multimedia and expo (2008)

407 Citations

Best Scientists Citing Shrikanth S. Narayanan

Björn Schuller

Björn Schuller

Imperial College London

Publications: 245

Carlos Busso

Carlos Busso

The University of Texas at Dallas

Publications: 59

Maja Pantic

Maja Pantic

Imperial College London

Publications: 53

Florian Eyben

Florian Eyben

Technical University of Munich

Publications: 52

Julien Epps

Julien Epps

UNSW Sydney

Publications: 50

David Traum

David Traum

University of Southern California

Publications: 47

Diane J. Litman

Diane J. Litman

University of Pittsburgh

Publications: 44

Alexandros Potamianos

Alexandros Potamianos

National Technical University of Athens

Publications: 43

Anton Batliner

Anton Batliner

University of Erlangen-Nuremberg

Publications: 41

Haizhou Li

Haizhou Li

Chinese University of Hong Kong, Shenzhen

Publications: 37

John Hansen

John Hansen

The University of Texas at Dallas

Publications: 36

Satoshi Nakamura

Satoshi Nakamura

Nara Institute of Science and Technology

Publications: 36

Louis-Philippe Morency

Louis-Philippe Morency

Carnegie Mellon University

Publications: 35

Julia Hirschberg

Julia Hirschberg

Columbia University

Publications: 35

Stacy Marsella

Stacy Marsella

Northeastern University

Publications: 35

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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