H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 39 Citations 8,667 588 World Ranking 4683 National Ranking 69

Research.com Recognitions

Awards & Achievements

2016 - IEEE Fellow For contributions to speech recognition and speech-to-speech translation

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Linguistics
  • Machine learning

His primary scientific interests are in Speech recognition, Artificial intelligence, Pattern recognition, Natural language processing and Speech processing. His study ties his expertise on Vector quantization together with the subject of Speech recognition. His Pattern recognition research incorporates elements of Sequence and Gaussian noise.

His work on Voice activity detection as part of general Speech processing research is frequently linked to Synthesis system, bridging the gap between disciplines. His Hidden Markov model research includes elements of Cepstrum, Probabilistic logic, Spectral density and Mel-frequency cepstrum. His Machine translation study combines topics in areas such as Sentence, Syntax, Translation and Correctness.

His most cited work include:

  • Serine palmitoyltransferase is the primary target of a sphingosine-like immunosuppressant, ISP-1/myriocin. (434 citations)
  • Voice conversion through vector quantization (401 citations)
  • Acoustical Sound Database in Real Environments for Sound Scene Understanding and Hands-Free Speech Recognition (196 citations)

What are the main themes of his work throughout his whole career to date?

Satoshi Nakamura mainly investigates Speech recognition, Artificial intelligence, Natural language processing, Hidden Markov model and Pattern recognition. His research in Speech recognition intersects with topics in Microphone array and Noise. In most of his Artificial intelligence studies, his work intersects topics such as Machine learning.

Many of his studies involve connections with topics such as Speech corpus and Natural language processing. His research in Speech processing is mostly focused on Voice activity detection.

He most often published in these fields:

  • Speech recognition (51.57%)
  • Artificial intelligence (38.27%)
  • Natural language processing (20.04%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (38.27%)
  • Speech recognition (51.57%)
  • Natural language processing (20.04%)

In recent papers he was focusing on the following fields of study:

Satoshi Nakamura mainly focuses on Artificial intelligence, Speech recognition, Natural language processing, Machine translation and Deep learning. His Artificial intelligence research is multidisciplinary, incorporating elements of Construct, Machine learning, Computer vision and Pattern recognition. His Speech recognition research focuses on Transcription in particular.

His Transcription study frequently draws connections between related disciplines such as Hidden Markov model. His Natural language processing research incorporates themes from Word and Translation. The Machine translation study combines topics in areas such as Sentence and Decoding methods.

Between 2016 and 2021, his most popular works were:

  • Listening while speaking: Speech chain by deep learning (76 citations)
  • Compressing recurrent neural network with tensor train (52 citations)
  • Embodied conversational agents for multimodal automated social skills training in people with autism spectrum disorders. (41 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Linguistics
  • Machine learning

Artificial intelligence, Speech recognition, Natural language processing, Machine translation and Transcription are his primary areas of study. He has researched Artificial intelligence in several fields, including Sequence and Pattern recognition. His research in Speech recognition is mostly concerned with Speech synthesis.

The study incorporates disciplines such as Utterance and Point in addition to Natural language processing. His Machine translation study incorporates themes from Sentence, Translation and Word. His study in Transcription is interdisciplinary in nature, drawing from both Word error rate, Levenshtein distance, Inference, Hidden Markov model and Reinforcement learning.

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.

Top Publications

Voice conversion through vector quantization

Masanobu Abe;Satoshi Nakamura;Kiyohiro Shikano;Hisao Kuwabara.
The Journal of The Acoustical Society of Japan (e) (1990)

796 Citations

Serine palmitoyltransferase is the primary target of a sphingosine-like immunosuppressant, ISP-1/myriocin.

Y. Miyake;Y. Kozutsumi;S. Nakamura;T. Fujita.
Biochemical and Biophysical Research Communications (1995)

569 Citations

Acoustical Sound Database in Real Environments for Sound Scene Understanding and Hands-Free Speech Recognition

Satoshi Nakamura;Kazuo Hiyane;Futoshi Asano;Takanobu Nishiura.
language resources and evaluation (2000)

272 Citations

Can social bookmarking enhance search in the web

Yusuke Yanbe;Adam Jatowt;Satoshi Nakamura;Katsumi Tanaka.
acm/ieee joint conference on digital libraries (2007)

271 Citations

Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation (T)

Yusuke Oda;Hiroyuki Fudaba;Graham Neubig;Hideaki Hata.
automated software engineering (2015)

176 Citations

Prevention of hepatic metastasis of human colon cancer by angiogenesis inhibitor TNP-470

Tatsuo Tanaka;Hiroyuki Konno;Iwao Matsuda;Satoshi Nakamura.
Cancer Research (1995)

156 Citations

Lip movement synthesis from speech based on hidden Markov models

E. Yamamoto;S. Nakamura;K. Shikano.
Speech Communication (1998)

154 Citations

Speech enhancement based on the subspace method

F. Asano;S. Hayamizu;T. Yamada;S. Nakamura.
IEEE Transactions on Speech and Audio Processing (2000)

146 Citations

Localization of multiple sound sources based on a CSP analysis with a microphone array

T. Nishiura;T. Yamada;S. Nakamura;K. Shikano.
international conference on acoustics, speech, and signal processing (2000)

137 Citations

Cytoplasmic beta-catenin accumulation as a predictor of hematogenous metastasis in human colorectal cancer.

Keiji Maruyama;Atsushi Ochiai;Shingo Akimoto;Satoshi Nakamura.
Oncology (2000)

127 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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