What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognition
- Semantics
Michael S. Vitevitch mainly focuses on Phonology, Speech recognition, Phonotactics, Phonetics and Similarity.
His Phonology study frequently draws connections to other fields, such as Psycholinguistics.
His studies deal with areas such as Cognitive psychology, Vocabulary and Speech perception as well as Phonotactics.
His Speech perception study integrates concerns from other disciplines, such as Context and Lexicon.
Michael S. Vitevitch has included themes like Cognition and Communication in his Phonetics study.
His Similarity study combines topics in areas such as Speech production and Speech Production Measurement.
His most cited work include:
- Probabilistic Phonotactics and Neighborhood Activation in Spoken Word Recognition (573 citations)
- When Words Compete: Levels of Processing in Perception of Spoken Words (431 citations)
- A web-based interface to calculate phonotactic probability for words and nonwords in English. (337 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Speech recognition, Phonology, Artificial intelligence, Natural language processing and Cognitive psychology.
His research integrates issues of Phonotactics, Lexical decision task, Speech perception, Spoken word recognition and Phonetics in his study of Speech recognition.
His Phonotactics study integrates concerns from other disciplines, such as Probabilistic logic and Levels-of-processing effect.
His research integrates issues of Similarity and Vocabulary development in his study of Phonology.
His work on Lexicon and Word as part of general Artificial intelligence study is frequently linked to Structure and Interface, bridging the gap between disciplines.
His study looks at the relationship between Lexicon and topics such as Psycholinguistics, which overlap with Context.
He most often published in these fields:
- Speech recognition (27.55%)
- Phonology (25.51%)
- Artificial intelligence (23.47%)
What were the highlights of his more recent work (between 2017-2021)?
- Network science (21.43%)
- Cognitive psychology (23.47%)
- Cognition (16.33%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Network science, Cognitive psychology, Cognition, Phonology and Speech recognition.
His Cognitive psychology study incorporates themes from Artificial neural network and Language development.
His studies deal with areas such as Visual perception and Cognitive science as well as Cognition.
His Phonology research is multidisciplinary, incorporating perspectives in Variety, Lexical decision task, Similarity and Word learning.
In Speech recognition, Michael S. Vitevitch works on issues like Spoken word recognition, which are connected to Speech comprehension and Phonotactics.
His Phonotactics research is multidisciplinary, relying on both Artificial intelligence and Natural language processing.
Between 2017 and 2021, his most popular works were:
- The origins of Zipf's meaning‐frequency law (10 citations)
- The phonographic language network: Using network science to investigate the phonological and orthographic similarity structure of language. (10 citations)
- Using network science to understand statistics anxiety among college students. (10 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Semantics
His main research concerns Network science, Cognitive psychology, Phonology, Clinical psychology and Anxiety.
His work deals with themes such as Artificial neural network and Language development, which intersect with Cognitive psychology.
His Phonology study combines topics in areas such as Syllable, Variety and Similarity, Artificial intelligence.
He combines subjects such as Statistics anxiety and School based intervention with his study of Clinical psychology.
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.
