D-Index & Metrics Best Publications

Shoko Araki

NTT (Japan)
Japan

D-Index & Metrics 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.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 45 Citations 8,016 234 World Ranking 4612 National Ranking 60

Overview

What is she best known for?

The fields of study Shoko Araki is best known for:

Speech enhancement
Noise reduction
Beamforming

Her research on Acoustics often connects related areas such as Permutation (music) and Ninth. Her research on Ninth often connects related topics like Acoustics. Her Artificial intelligence study frequently links to adjacent areas such as Pattern recognition (psychology). Her study in Artificial intelligence extends to Pattern recognition (psychology) with its themes. Source separation and Speech recognition are frequently intertwined in her study. She combines topics linked to Source separation with her work on Speech recognition. Shoko Araki regularly links together related areas like Statistics in her Separation (statistics) studies. Shoko Araki frequently studies issues relating to Separation (statistics) and Statistics. While working on this project, she studies both Blind signal separation and Cluster analysis.

Her most cited work include:

Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment (303 citations)
Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors (221 citations)
Development and validation of a measure of intercultural adjustment potential in Japanese sojourners: the Intercultural Adjustment Potential Scale (ICAPS) (145 citations)

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

Much of her study explores Acoustics relationship to Permutation (music) and Reverberation. Her research on Permutation (music) frequently links to adjacent areas such as Acoustics. Shoko Araki regularly links together related areas like Cluster analysis in her Artificial intelligence studies. Speech recognition and Source separation are frequently intertwined in her study. Her Speech recognition research extends to the thematically linked field of Source separation. Her work on Channel (broadcasting) is being expanded to include thematically relevant topics such as Computer network. Her research on Computer network often connects related areas such as Channel (broadcasting). Her Telecommunications study frequently intersects with other fields, such as Microphone. Her study deals with a combination of Microphone and Sound pressure.

Shoko Araki most often published in these fields:

Artificial intelligence (75.68%)
Speech recognition (59.46%)
Channel (broadcasting) (59.46%)

What were the highlights of her more recent work (between 2018-2021)?

Quantum mechanics (66.67%)
Notation (33.33%)
Gaussian (33.33%)

In recent works Shoko Araki was focusing on the following fields of study:

Her Quantum mechanics study frequently links to adjacent areas such as Gaussian. Gaussian is closely attributed to Quantum mechanics in her research. Notation is closely attributed to Arithmetic in her work. As part of her studies on Arithmetic, Shoko Araki frequently links adjacent subjects like Notation. Her Algorithm study frequently involves adjacent topics like Coordinate descent. Her work on Algorithm expands to the thematically related Coordinate descent. Her Noise reduction study typically links adjacent topics like Acoustics. Shoko Araki regularly ties together related areas like Speech enhancement in her Acoustics studies. Her Speech enhancement study typically links adjacent topics like Artificial intelligence.

Between 2018 and 2021, her most popular works were:

GEDI: Gammachirp envelope distortion index for predicting intelligibility of enhanced speech (7 citations)
Block Coordinate Descent Algorithms for Auxiliary-Function-Based Independent Vector Extraction (6 citations)
Managing Conflicts with Local Communities over the Introduction of Renewable Energy: The Solar-Rush Experience in Japan (5 citations)

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

A robust and precise method for solving the permutation problem of frequency-domain blind source separation

H. Sawada;R. Mukai;S. Araki;S. Makino.
IEEE Transactions on Speech and Audio Processing (2004)

752 Citations

The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech

S. Araki;R. Mukai;S. Makino;T. Nishikawa.
IEEE Transactions on Speech and Audio Processing (2003)

490 Citations

Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment

Hiroshi Sawada;Shoko Araki;Shoji Makino.
IEEE Transactions on Audio, Speech, and Language Processing (2011)

395 Citations

Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors

Shoko Araki;Hiroshi Sawada;Ryo Mukai;Shoji Makino.
Signal Processing (2007)

317 Citations

Multichannel Extensions of Non-Negative Matrix Factorization With Complex-Valued Data

H. Sawada;H. Kameoka;S. Araki;N. Ueda.
IEEE Transactions on Audio, Speech, and Language Processing (2013)

293 Citations

The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices

Takuya Yoshioka;Nobutaka Ito;Marc Delcroix;Atsunori Ogawa.
ieee automatic speech recognition and understanding workshop (2015)

231 Citations

The signal separation evaluation campaign (2007-2010): Achievements and remaining challenges

Emmanuel Vincent;Shoko Araki;Fabian Theis;Guido Nolte.
Signal Processing (2012)

207 Citations

Polar coordinate based nonlinear function for frequency-domain blind source separation

Hiroshi Sawada;Ryo Mukai;Shoko Araki;Shoji Makino.
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2003)

204 Citations

The 2008 Signal Separation Evaluation Campaign: A Community-Based Approach to Large-Scale Evaluation

Emmanuel Vincent;Shoko Araki;Pau Bofill.
international conference on independent component analysis and signal separation (2009)

174 Citations

The 2011 signal separation evaluation campaign (SiSEC2011): - audio source separation -

Shoko Araki;Francesco Nesta;Emmanuel Vincent;Zbyněk Koldovský.
international conference on latent variable analysis and signal separation (2012)

171 Citations

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