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.
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.
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.
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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)
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)
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)
Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors
Shoko Araki;Hiroshi Sawada;Ryo Mukai;Shoji Makino.
Signal Processing (2007)
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)
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)
The signal separation evaluation campaign (2007-2010): Achievements and remaining challenges
Emmanuel Vincent;Shoko Araki;Fabian Theis;Guido Nolte.
Signal Processing (2012)
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)
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)
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)
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