What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Linguistics
- Cognition
His primary scientific interests are in Linguistics, Cognitive psychology, Speech perception, Cognition and First language.
His Stress, Syllable, Phonology, Lexicon and Phonotactics investigations are all subjects of Linguistics research.
As part of one scientific family, Emmanuel Dupoux deals mainly with the area of Cognitive psychology, narrowing it down to issues related to the Communication, and often Speech recognition, Functional magnetic resonance imaging, Linguistic diversity and Grammar.
His work carried out in the field of Speech perception brings together such families of science as Neuroimaging and Speech processing.
His research in Cognition intersects with topics in Illusion, Cognitive science, Perception and Social group.
He has included themes like Developmental psychology, Language acquisition, Foreign language and Multilingualism in his First language study.
His most cited work include:
- Is numerical comparison digital? Analogical and symbolic effects in two-digit number comparison (610 citations)
- The bilingual brain. Proficiency and age of acquisition of the second language. (576 citations)
- The native language of social cognition (490 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Speech recognition, Artificial intelligence, Natural language processing, Linguistics and Cognitive psychology.
His Speech recognition research integrates issues from Representation and Zero.
The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
His work in Natural language processing addresses subjects such as Language acquisition, which are connected to disciplines such as Developmental psychology.
As part of his studies on Linguistics, Emmanuel Dupoux frequently links adjacent subjects like Perception.
His study on Cognitive psychology also encompasses disciplines like
- Speech perception that connect with fields like Speech processing,
- Cognition which is related to area like Sentence.
He most often published in these fields:
- Speech recognition (31.72%)
- Artificial intelligence (28.62%)
- Natural language processing (23.10%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (28.62%)
- Speech recognition (31.72%)
- Natural language processing (23.10%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Speech recognition, Natural language processing, Artificial neural network and Word are his primary areas of study.
His studies deal with areas such as Machine learning, Pipeline, Reverse engineering and Vowel as well as Artificial intelligence.
The study incorporates disciplines such as Representation and Zero in addition to Speech recognition.
His Natural language processing research incorporates themes from Analogy, Language acquisition, Feature learning and Cluster analysis.
His study connects Speech perception and Language acquisition.
His Artificial neural network research is multidisciplinary, incorporating elements of Theoretical computer science, Natural language and Speech processing.
Between 2017 and 2021, his most popular works were:
- Child-Directed Speech Is Infrequent in a Forager-Farmer Population: A Time Allocation Study. (66 citations)
- The Zero Resource Speech Challenge 2019: TTS Without T. (63 citations)
- Libri-Light: A Benchmark for ASR with Limited or No Supervision (58 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Linguistics
- Cognition
His main research concerns Speech recognition, Artificial intelligence, Zero, Resource and Benchmark.
His Speech recognition research includes elements of Word, Waveform, Representation and Variety.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Cognitive development, Machine learning and Natural language processing.
His Natural language processing study incorporates themes from Unlabelled data and Orthographic projection.
His biological study spans a wide range of topics, including Language development, Information processing, Reverse engineering, Language learner and Psycholinguistics.
His research on Linguistics focuses in particular on Transcription.
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