What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Neuroscience
Bharath Chandrasekaran mainly focuses on Speech perception, Communication, Audiology, Perception and Mismatch negativity.
His studies in Speech perception integrate themes in fields like Context, Syllable, Speech recognition and Phonetics.
He works mostly in the field of Speech recognition, limiting it down to topics relating to Auditory brainstem response and, in certain cases, Auditory system and Active listening, as a part of the same area of interest.
His study in Communication is interdisciplinary in nature, drawing from both Representation and Electroencephalography.
His work is dedicated to discovering how Perception, Stimulus are connected with Working memory, Time perception, Speech coding and Structural equation modeling and other disciplines.
His Mismatch negativity research includes elements of Mandarin Chinese and Tone.
His most cited work include:
- Music training for the development of auditory skills (621 citations)
- The scalp‐recorded brainstem response to speech: Neural origins and plasticity (308 citations)
- Context-Dependent Encoding in the Human Auditory Brainstem Relates to Hearing Speech in Noise: Implications for Developmental Dyslexia (196 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Speech perception, Speech recognition, Perception, Cognitive psychology and Audiology.
His Speech perception study incorporates themes from Communication, Syllable, Phonetics and Noise.
His research in Speech recognition intersects with topics in Mandarin Chinese and Active listening.
His research in Perception tackles topics such as Sensory system which are related to areas like Frequency following response.
His Cognitive psychology study also includes fields such as
- Developmental psychology, which have a strong connection to Auditory perception,
- Cognition which connect with Context.
His Audiology research integrates issues from Young adult, Speech sounds, Depressive symptoms and Electroencephalography.
He most often published in these fields:
- Speech perception (37.01%)
- Speech recognition (30.71%)
- Perception (27.56%)
What were the highlights of his more recent work (between 2019-2021)?
- Concept learning (20.47%)
- Speech recognition (30.71%)
- Cognitive psychology (25.98%)
In recent papers he was focusing on the following fields of study:
Bharath Chandrasekaran mostly deals with Concept learning, Speech recognition, Cognitive psychology, Audiology and Electroencephalography.
The study incorporates disciplines such as Cognition and Perception in addition to Concept learning.
His Speech recognition study combines topics in areas such as Bayesian probability and Pitch tracking.
Bharath Chandrasekaran works mostly in the field of Audiology, limiting it down to concerns involving Comprehension and, occasionally, Sentence and Language disorder.
His work deals with themes such as Tone, Sensory system and Active listening, which intersect with Electroencephalography.
Bharath Chandrasekaran focuses mostly in the field of Semantic memory, narrowing it down to matters related to Speech perception and, in some cases, Speech coding.
Between 2019 and 2021, his most popular works were:
- Neural tracking of the speech envelope is differentially modulated by attention and language experience (4 citations)
- Cortical Tracking of Speech in Delta Band Relates to Individual Differences in Speech in Noise Comprehension in Older Adults. (4 citations)
- Non-invasive peripheral nerve stimulation selectively enhances speech category learning in adults. (3 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Neuroscience
His primary scientific interests are in Concept learning, Sensory system, Perception, Tracking and Audiology.
His research on Concept learning concerns the broader Cognitive psychology.
His biological study spans a wide range of topics, including Subjective constancy, Categorization, Mandarin Chinese, Neural decoding and Brain network.
Other disciplines of study, such as Envelope, Narrative, Cortical auditory evoked potentials, Neural processing and Speech recognition, are mixed together with his Tracking studies.
His Audiology research incorporates themes from Working memory, Memory span, Active listening and Electroencephalography.
His Electroencephalography research incorporates elements of Noise and Comprehension.
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