D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 39 Citations 10,010 164 World Ranking 5973 National Ranking 2887

Research.com Recognitions

Awards & Achievements

2019 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Speech recognition

His main research concerns Artificial intelligence, Speech recognition, Facial expression, Cognitive psychology and Affective computing. His research integrates issues of Machine learning and Natural language processing in his study of Artificial intelligence. His Speech recognition study combines topics in areas such as Sadness, Anger and Computer vision.

His work deals with themes such as Motion capture and Happiness, which intersect with Anger. His work in Facial expression addresses issues such as Gesture, which are connected to fields such as Facial recognition system and Human communication. His Affective computing research includes elements of Sentence, Coarticulation and Affective science.

His most cited work include:

  • IEMOCAP: interactive emotional dyadic motion capture database (895 citations)
  • Analysis of emotion recognition using facial expressions, speech and multimodal information (617 citations)
  • The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (528 citations)

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

His scientific interests lie mostly in Artificial intelligence, Speech recognition, Computer vision, Emotion recognition and Natural language processing. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Pattern recognition. His studies deal with areas such as Feature extraction and Feature as well as Speech recognition.

His Computer vision research incorporates themes from Head and Distraction. His studies in Natural language processing integrate themes in fields like Affective computing, Classifier and Emotion perception. His research in Facial expression intersects with topics in Sadness and Anger.

He most often published in these fields:

  • Artificial intelligence (55.29%)
  • Speech recognition (46.47%)
  • Computer vision (15.29%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (55.29%)
  • Discriminative model (5.88%)
  • Speech recognition (46.47%)

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

Carlos Busso mainly investigates Artificial intelligence, Discriminative model, Speech recognition, Feature and Task analysis. Carlos Busso combines subjects such as Machine learning and Computer vision with his study of Artificial intelligence. His research in Speech recognition is mostly concerned with Emotion recognition.

His Feature research is multidisciplinary, incorporating perspectives in Externalization, Natural and Database. Carlos Busso interconnects Multi-task learning, Ordinal data and Speech processing in the investigation of issues within Task analysis. His Manner of articulation research is multidisciplinary, relying on both Sadness, Anger, Facial expression and Happiness.

Between 2019 and 2021, his most popular works were:

  • The Ordinal Nature of Emotions: An Emerging Approach (29 citations)
  • Semi-Supervised Speech Emotion Recognition With Ladder Networks (11 citations)
  • End-to-End Audiovisual Speech Recognition System With Multitask Learning (8 citations)

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

  • Artificial intelligence
  • Machine learning
  • Speech recognition

Carlos Busso focuses on Task analysis, Cognitive psychology, Multi-task learning, Speech processing and Artificial intelligence. Carlos Busso has researched Task analysis in several fields, including Value, Affective computing, Representation and Ordinal data. Carlos Busso has included themes like Context and Loneliness in his Cognitive psychology study.

His biological study spans a wide range of topics, including Machine learning, Feature and Robustness. His Robustness study combines topics from a wide range of disciplines, such as Feature extraction and Discriminative model. His Speech processing research is within the category of Speech recognition.

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

IEMOCAP: interactive emotional dyadic motion capture database

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

1824 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)

1050 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)

948 Citations

Emotion recognition using a hierarchical binary decision tree approach

Chi-Chun Lee;Emily Mower;Carlos Busso;Sungbok Lee.
Speech Communication (2011)

894 Citations

Analysis of Emotionally Salient Aspects of Fundamental Frequency for Emotion Detection

C. Busso;Sungbok Lee;S. Narayanan.
IEEE Transactions on Audio, Speech, and Language Processing (2009)

338 Citations

Emotion recognition based on phoneme classes

Chul Min Lee;Serdar Yildirim;Murtaza Bulut;Abe Kazemzadeh.
conference of the international speech communication association (2004)

299 Citations

An acoustic study of emotions expressed in speech

Serdar Yildirim;Murtaza Bulut;Chul Min Lee;Abe Kazemzadeh.
conference of the international speech communication association (2004)

225 Citations

Rigid Head Motion in Expressive Speech Animation: Analysis and Synthesis

C. Busso;Zhigang Deng;M. Grimm;U. Neumann.
IEEE Transactions on Audio, Speech, and Language Processing (2007)

198 Citations

MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception

Carlos Busso;Srinivas Parthasarathy;Alec Burmania;Mohammed AbdelWahab.
IEEE Transactions on Affective Computing (2017)

193 Citations

Interrelation Between Speech and Facial Gestures in Emotional Utterances: A Single Subject Study

C. Busso;S.S. Narayanan.
IEEE Transactions on Audio, Speech, and Language Processing (2007)

158 Citations

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