What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Neuroscience
Petri Toiviainen mainly investigates Speech recognition, Timbre, Motion capture, MATLAB and Toolbox.
His Speech recognition research includes elements of Stimulus, Regression analysis, Statistics and Feature extraction.
His work in Stimulus tackles topics such as Musical form which are related to areas like Cognitive psychology.
His research investigates the connection with Timbre and areas like Tonality which intersect with concerns in Auditory perception, Default mode network, Functional magnetic resonance imaging, Scale and Chromatic scale.
His MATLAB study also includes
- Computer graphics and related MIDI, Group method of data handling, Object, Computer vision and Visualization,
- Set which intersects with area such as Music information retrieval.
His work deals with themes such as Feature, Syntax and Feature, which intersect with Toolbox.
His most cited work include:
- MIR in Matlab (II): A Toolbox for Musical Feature Extraction from Audio. (663 citations)
- A Matlab Toolbox for Music Information Retrieval (251 citations)
- Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm. (205 citations)
What are the main themes of his work throughout his whole career to date?
Petri Toiviainen focuses on Speech recognition, Cognitive psychology, Musical, Perception and Artificial intelligence.
His work carried out in the field of Speech recognition brings together such families of science as Timbre, Tonality, Stimulus, Rhythm and MIDI.
Petri Toiviainen combines subjects such as Music psychology, Music and emotion, Functional magnetic resonance imaging, Dance and Auditory perception with his study of Cognitive psychology.
His Functional magnetic resonance imaging study combines topics from a wide range of disciplines, such as Brain activity and meditation and Music information retrieval.
His studies examine the connections between Perception and genetics, as well as such issues in Movement, with regards to Embodied cognition.
His Artificial intelligence study incorporates themes from Natural language processing, Melody and Pattern recognition.
He most often published in these fields:
- Speech recognition (29.80%)
- Cognitive psychology (29.14%)
- Musical (24.50%)
What were the highlights of his more recent work (between 2018-2021)?
- Musical (24.50%)
- Cognitive psychology (29.14%)
- Dance (11.26%)
In recent papers he was focusing on the following fields of study:
Petri Toiviainen mostly deals with Musical, Cognitive psychology, Dance, Perception and Electroencephalography.
He is involved in the study of Musical that focuses on Music information retrieval in particular.
His Cognitive psychology study combines topics in areas such as Timbre, Stimulus, Music psychology, Empathy and Beat.
His Timbre research integrates issues from Melody and Salience.
His Dance research is multidisciplinary, incorporating perspectives in Algorithm, Movement and Embodied cognition.
His Feature research incorporates themes from Functional magnetic resonance imaging, Superior temporal gyrus, Independent component analysis, Speech recognition and Brain activity and meditation.
Between 2018 and 2021, his most popular works were:
- The chronnectome of musical beat. (9 citations)
- Exploring Frequency-Dependent Brain Networks from Ongoing EEG Using Spatial ICA During Music Listening. (7 citations)
- Embodiment in Electronic Dance Music: Effects of musical content and structure on body movement: (6 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Neuroscience
His primary areas of study are Cognitive psychology, Musical, Timbre, Perception and Dance.
The concepts of his Cognitive psychology study are interwoven with issues in Stimulus and Beat.
In his study, which falls under the umbrella issue of Beat, Music information retrieval is strongly linked to Default mode network.
His Musical research is multidisciplinary, incorporating elements of Mismatch negativity, Jazz and Active listening.
His work carried out in the field of Timbre brings together such families of science as Superior temporal gyrus, Feature, Speech recognition, Magnetoencephalography and Brain activity and meditation.
Petri Toiviainen has researched Perception in several fields, including Empathy quotient and Empathy.
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