D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 40 Citations 6,439 278 World Ranking 4488 National Ranking 65

Overview

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Audio-visual speech recognition using deep learning

Kuniaki Noda;Yuki Yamaguchi;Kazuhiro Nakadai;Hiroshi G. Okuno.
Applied Intelligence (2015)

367 Citations

Active Audition for Humanoid

Kazuhiro Nakadai;Tino Lourens;Hiroshi G. Okuno;Hiroaki Kitano.
national conference on artificial intelligence (2000)

316 Citations

Automatic Speech Recognition System

Kazuhiro Nakadai;Hiroshi Tsujino;Hiroshi Form Higashi Toin Sanjyo Okuno;Shunichi Yamamoto.
(2004)

311 Citations

Design and Implementation of Robot Audition System 'HARK' — Open Source Software for Listening to Three Simultaneous Speakers

Kazuhiro Nakadai;Toru Takahashi;Hiroshi G. Okuno;Hirofumi Nakajima.
Advanced Robotics (2010)

269 Citations

Real-time auditory and visual multiple-object tracking for humanoids

Kazuhiro Nakadai;Ken-ichi Hidai;Hiroshi Mizoguchi;Hiroshi G. Okuno.
international joint conference on artificial intelligence (2001)

175 Citations

Application of the Bayesian probability network to music scene analysis

Kunio Kashino;Kazuhiro Nakadai;Tomoyoshi Kinoshita;Hidehiko Tanaka.
Computational auditory scene analysis (1998)

150 Citations

Real-time sound source localization and separation for robot audition

Kazuhiro Nakadai;Hiroshi G. Okuno;Hiroaki Kitano.
conference of the international speech communication association (2002)

142 Citations

Robotics visual and auditory system

Kazuhiro Nakadai;Hiroshi Okuno;Hiroaki Kitano.
Journal of the Acoustical Society of America (2002)

125 Citations

Applying scattering theory to robot audition system: robust sound source localization and extraction

K. Nakadai;D. Matsuura;H.G. Okuno;H. Kitano.
intelligent robots and systems (2003)

123 Citations

Robot acoustic device and robot acoustic system

Kazuhiro Nakadai;Hiroshi Okuno;Hiroaki Kitano.
Journal of the Acoustical Society of America (2001)

106 Citations

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