What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognition
- Speech recognition
His primary areas of study are Speech recognition, Word recognition, Speech perception, Lexicon and Artificial intelligence.
His research in Speech recognition intersects with topics in Articulation, Cognition, Word and Vocabulary.
His research integrates issues of Prosody, Word, Lexical decision task and Priming in his study of Word recognition.
The various areas that James M. McQueen examines in his Speech perception study include Context, Perceptual learning, Language acquisition, Connectionism and Phonology.
His research investigates the connection with Lexicon and areas like Cognitive psychology which intersect with concerns in Search engine indexing, Functional magnetic resonance imaging, Content-addressable memory and Lexicalization.
James M. McQueen focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Natural language processing and, in certain cases, Inferior frontal gyrus, Semantic memory, Information processing and Relation.
His most cited work include:
- Perceptual learning in speech. (584 citations)
- Merging information in speech recognition: feedback is never necessary. (561 citations)
- Shortlist B: A Bayesian model of continuous speech recognition (426 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Speech recognition, Speech perception, Cognitive psychology, Perception and Artificial intelligence.
His Speech recognition research incorporates elements of Word, Word recognition, Spoken word recognition and Perceptual learning.
His work carried out in the field of Word recognition brings together such families of science as Sentence and Lexicon.
His biological study deals with issues like Speech production, which deal with fields such as Neurocomputational speech processing.
While the research belongs to areas of Cognitive psychology, James M. McQueen spends his time largely on the problem of Lexical decision task, intersecting his research to questions surrounding Priming.
The Artificial intelligence study which covers Natural language processing that intersects with Stress.
He most often published in these fields:
- Speech recognition (54.45%)
- Speech perception (32.88%)
- Cognitive psychology (30.73%)
What were the highlights of his more recent work (between 2016-2021)?
- Cognitive psychology (30.73%)
- Speech perception (32.88%)
- Speech recognition (54.45%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Cognitive psychology, Speech perception, Speech recognition, Perception and Comprehension.
His Cognitive psychology research includes elements of Foreign language, Semantic memory, Cognition, Magnetoencephalography and Vocabulary.
His Speech perception research is multidisciplinary, incorporating elements of Auditory feedback, Perceptual learning, Visual perception, Speech production and Vowel.
His Speech recognition research is multidisciplinary, incorporating perspectives in Rule-based machine translation and Spoken word recognition.
He usually deals with Perception and limits it to topics linked to Developmental psychology and Multilingualism, Phonology and Neuroscience of multilingualism.
He has included themes like Sentence and Deep linguistic processing in his Comprehension study.
Between 2016 and 2021, his most popular works were:
- Interaction between episodic and semantic memory networks in the acquisition and consolidation of novel spoken words (25 citations)
- Interaction between episodic and semantic memory networks in the acquisition and consolidation of novel spoken words (25 citations)
- Allophones, not phonemes in spoken-word recognition (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Speech recognition
James M. McQueen mostly deals with Speech perception, Cognitive psychology, Speech production, Auditory feedback and Vowel.
His Speech perception study combines topics in areas such as Speech recognition, Phonetics, Perceptual learning and Reading.
His Intelligibility study, which is part of a larger body of work in Speech recognition, is frequently linked to Audiometry, bridging the gap between disciplines.
His Perceptual learning course of study focuses on Generalization and Mental lexicon.
The concepts of his Cognitive psychology study are interwoven with issues in Lexicalization, Episodic memory, Semantics, Semantic memory and Retrospective memory.
His biological study spans a wide range of topics, including Concept learning, Context and Audiology.
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