What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Acoustics
Stephen McAdams mainly investigates Timbre, Acoustics, Speech recognition, Perception and Loudness.
Stephen McAdams combines subjects such as Multidimensional scaling, Cognitive psychology, Set and Spectral centroid with his study of Timbre.
His Acoustics study combines topics in areas such as Musical acoustics, Spectral envelope, Artificial intelligence and Identification.
In his study, Interval and Pitch Discrimination is strongly linked to Tone, which falls under the umbrella field of Speech recognition.
Stephen McAdams has researched Perception in several fields, including Stimulus, Similarity and Cognition.
Stephen McAdams interconnects Fundamental frequency and Psychoacoustics in the investigation of issues within Loudness.
His most cited work include:
- Perceptual scaling of synthesized musical timbres: Common dimensions, specificities, and latent subject classes (452 citations)
- Thinking in sound : the cognitive psychology of human audition (269 citations)
- The Timbre Toolbox: extracting audio descriptors from musical signals. (176 citations)
What are the main themes of his work throughout his whole career to date?
Perception, Speech recognition, Acoustics, Timbre and Cognitive psychology are his primary areas of study.
Stephen McAdams studied Perception and Musical that intersect with Context.
His research in Speech recognition intersects with topics in Musical instrument, Soundscape, Space and Auditory perception.
The concepts of his Acoustics study are interwoven with issues in Spectral envelope and Frequency modulation.
His biological study spans a wide range of topics, including Spectral centroid, Loudness, Psychoacoustics, Multidimensional scaling and Set.
His research in Cognitive psychology tackles topics such as Melody which are related to areas like Linguistics.
He most often published in these fields:
- Perception (38.61%)
- Speech recognition (34.98%)
- Acoustics (33.66%)
What were the highlights of his more recent work (between 2012-2021)?
- Perception (38.61%)
- Timbre (32.34%)
- Speech recognition (34.98%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Perception, Timbre, Speech recognition, Cognitive psychology and Musical.
Stephen McAdams has researched Perception in several fields, including Acoustics, Orchestration, Musical acoustics and Set.
His Acoustics research incorporates elements of Artificial intelligence and Pattern recognition.
His Timbre study incorporates themes from Loudness, Psychoacoustics, Music psychology, Formant and Cognitive science.
His work carried out in the field of Speech recognition brings together such families of science as Musical instrument, Pitch, Categorization and Auditory perception.
His Cognitive psychology research incorporates themes from Arousal, Musical form, Melody and Communication.
Between 2012 and 2021, his most popular works were:
- News, Politics, and Negativity (105 citations)
- Probabilistic models of expectation violation predict psychophysiological emotional responses to live concert music (105 citations)
- Abstract Encoding of Auditory Objects in Cortical Activity Patterns (67 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Acoustics
His primary areas of study are Timbre, Perception, Speech recognition, Melody and Social psychology.
His work deals with themes such as Communication, Music psychology, Set, Tone and Auditory perception, which intersect with Timbre.
His Perception research is multidisciplinary, relying on both Acoustics, Artificial intelligence and Pattern recognition.
His studies deal with areas such as Similarity, Centroid, Spectral centroid and Scrambling as well as Acoustics.
His Speech recognition research includes elements of Musical instrument, Pitch, Loudness and Categorization.
His Melody research integrates issues from Cognitive psychology, Cadence, Harpsichord, MIDI and Musical form.
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