What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Speech recognition
His primary areas of study are Speech recognition, Artificial intelligence, Natural language processing, Interview and Nonverbal communication.
His Speech recognition research is multidisciplinary, relying on both Entropy, Discriminative model, Facial expression and Feature learning.
His Artificial intelligence study often links to related topics such as Machine learning.
Stefan Scherer combines subjects such as Word, Speech technology and Perception with his study of Natural language processing.
His studies in Nonverbal communication integrate themes in fields like Multimedia, Virtual reality, Human–computer interaction, Public speaking and Gesture.
His Human–computer interaction study incorporates themes from Accommodation and Human communication.
His most cited work include:
- A review of depression and suicide risk assessment using speech analysis (296 citations)
- SimSensei kiosk: a virtual human interviewer for healthcare decision support (251 citations)
- COVAREP — A collaborative voice analysis repository for speech technologies (235 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Artificial intelligence, Speech recognition, Human–computer interaction, Cognitive psychology and Nonverbal communication.
His Artificial intelligence research includes elements of Machine learning, Pattern recognition and Natural language processing.
The various areas that Stefan Scherer examines in his Speech recognition study include Mixture model and Feature learning.
The concepts of his Human–computer interaction study are interwoven with issues in Multimedia, Facial expression and Human communication.
He works mostly in the field of Cognitive psychology, limiting it down to concerns involving Depression and, occasionally, Affect, Clinical psychology, Mood and Speech production.
His Nonverbal communication research is multidisciplinary, incorporating elements of Perception and Public speaking.
He most often published in these fields:
- Artificial intelligence (33.11%)
- Speech recognition (26.49%)
- Human–computer interaction (18.54%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (33.11%)
- Cognitive psychology (13.25%)
- Speech recognition (26.49%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Cognitive psychology, Speech recognition, Applied psychology and Facial expression.
His Artificial intelligence research includes themes of Machine learning, Pattern recognition, Nonverbal communication and Natural language processing.
As a part of the same scientific family, he mostly works in the field of Machine learning, focusing on Fusion and, on occasion, Depression.
His Nonverbal communication research focuses on subjects like Perplexity, which are linked to Affect.
The various areas that Stefan Scherer examines in his Cognitive psychology study include Ensemble learning and Motivational interviewing.
As a part of the same scientific study, Stefan Scherer usually deals with the Speech recognition, concentrating on Feature learning and frequently concerns with Generative grammar, Adversarial system, Discriminative model and Variation.
Between 2016 and 2021, his most popular works were:
- AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge (152 citations)
- Affect-LM: A Neural Language Model for Customizable Affective Text Generation (74 citations)
- Learning representations of emotional speech with deep convolutional generative adversarial networks (70 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Operating system
Stefan Scherer mainly investigates Artificial intelligence, Nonverbal communication, Affect, Natural language processing and Depression.
His Artificial intelligence research is multidisciplinary, relying on both Machine learning, Multimedia and Job interview.
His work on Nonverbal behavior as part of general Nonverbal communication research is often related to Suicidal risk and Public health, thus linking different fields of science.
His studies deal with areas such as Schizophrenia, Developmental psychology, Facial expression, Social cognition and Oxytocin as well as Affect.
Stefan Scherer usually deals with Natural language processing and limits it to topics linked to Perception and Speech recognition.
His research in Depression tackles topics such as Social psychology which are related to areas like Cognitive psychology.
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