What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Acoustics
His scientific interests lie mostly in Robot, Artificial intelligence, Acoustic source localization, Speech recognition and Computer vision.
Kazuhiro Nakadai combines subjects such as Human–computer interaction, Gesture and Microphone with his study of Robot.
His work in Artificial intelligence addresses issues such as Pattern recognition, which are connected to fields such as Audio-visual speech recognition and Audio mining.
His Acoustic source localization research is multidisciplinary, relying on both Microphone array, Noise and Visualization.
His studies in Speech recognition integrate themes in fields like Facial recognition system, Feature and Filter.
His study in Computer vision is interdisciplinary in nature, drawing from both Human–robot interaction, Motor control and Mobile robot.
His most cited work include:
- Audio-visual speech recognition using deep learning (282 citations)
- Automatic Speech Recognition System (224 citations)
- Active Audition for Humanoid (199 citations)
What are the main themes of his work throughout his whole career to date?
Kazuhiro Nakadai mainly investigates Speech recognition, Robot, Artificial intelligence, Acoustics and Acoustic source localization.
His work deals with themes such as Microphone array and Reverberation, which intersect with Speech recognition.
His Robot research includes themes of Human–computer interaction, Robustness and Noise.
Kazuhiro Nakadai interconnects Motor control, Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence.
The various areas that Kazuhiro Nakadai examines in his Acoustics study include Beamforming and Microphone.
The concepts of his Acoustic source localization study are interwoven with issues in Transfer function, Sound power and Robot audition.
He most often published in these fields:
- Speech recognition (52.28%)
- Robot (35.16%)
- Artificial intelligence (33.33%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (33.33%)
- Acoustic source localization (29.00%)
- Speech recognition (52.28%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Acoustic source localization, Speech recognition, Acoustics and Microphone.
His Artificial intelligence research incorporates elements of Computer vision and Pattern recognition.
His work carried out in the field of Acoustic source localization brings together such families of science as Noise, Transfer function, Algorithm and Robot audition.
His Speech recognition study incorporates themes from Field, Recurrent neural network, Robot and Dynamics.
He works mostly in the field of Acoustics, limiting it down to topics relating to Point source and, in certain cases, Inverse, as a part of the same area of interest.
His work investigates the relationship between Microphone and topics such as Tracking that intersect with problems in Filter.
Between 2017 and 2021, his most popular works were:
- Weakly-Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation (15 citations)
- Speech Enhancement Based on Bayesian Low-Rank and Sparse Decomposition of Multichannel Magnitude Spectrograms (13 citations)
- A spatiotemporal analysis of acoustic interactions between great reed warblers (Acrocephalus arundinaceus) using microphone arrays and robot audition software HARK (9 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Acoustics
- Computer vision
Kazuhiro Nakadai mainly investigates Speech recognition, Artificial intelligence, Robot audition, Acoustic source localization and Microphone array.
His Speech recognition research integrates issues from Artificial neural network and Field.
His research integrates issues of Pattern recognition, Computer vision and Natural language processing in his study of Artificial intelligence.
His study looks at the relationship between Acoustic source localization and fields such as Dynamics, as well as how they intersect with chemical problems.
The Acoustics study which covers Anomaly detection that intersects with Sound.
His Microphone study frequently intersects with other fields, such as Robot.
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