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Shoko Araki

Shoko Araki

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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
51
Citations
9657
World Ranking
5377
National Ranking
68

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Shoko Araki is affiliated with NTT in Japan and has published extensively within the field of Computer Science, focusing predominantly on Signal Processing and its various subfields. Their research spans topics such as Speech and Audio Processing, Speech Recognition and Synthesis, Music and Audio Processing, Advanced Adaptive Filtering Techniques, Blind Source Separation Techniques, Hearing Loss and Rehabilitation, and Underwater Acoustics Research.

Their recent publications include:

  • "How bad are artifacts?: Analyzing the impact of speech enhancement errors on ASR" (2022, Interspeech 2022)
  • "Block Coordinate Descent Algorithms for Auxiliary-Function-Based Independent Vector Extraction" (2021, IEEE Transactions on Signal Processing)
  • "SoundBeam: Target Sound Extraction Conditioned on Sound-Class Labels and Enrollment Clues for Increased Performance and Continuous Learning" (2022, IEEE/ACM Transactions on Audio Speech and Language Processing)
  • "Mask-Based Neural Beamforming for Moving Speakers With Self-Attention-Based Tracking" (2023, IEEE/ACM Transactions on Audio Speech and Language Processing)
  • "Switching Independent Vector Analysis and its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms" (2022, IEEE/ACM Transactions on Audio Speech and Language Processing)

Frequent co-authors who have collaborated often with Shoko Araki include:

  • Marc Delcroix
  • Tomohiro Nakatani
  • Tsubasa Ochiai
  • Keisuke Kinoshita
  • Rintaro Ikeshita

Their publications are regularly featured in a variety of venues, notably:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
  • NTT technical review
  • 2021 29th European Signal Processing Conference (EUSIPCO)

Shoko Araki's work reflects a focus on innovative approaches to audio and speech signal processing, including research on neural beamforming, independent vector analysis, and algorithms that enhance speech recognition accuracy and sound extraction. Their scientific contributions encompass both theoretical and applied aspects, contributing to evolving technologies in speech enhancement and auditory scene analysis.

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

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

    S. Araki;R. Mukai;S. Makino;T. Nishikawa

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

    Hiroshi Sawada;Shoko Araki;Shoji Makino

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

    H. Sawada;H. Kameoka;S. Araki;N. Ueda

  • Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors

    Shoko Araki;Hiroshi Sawada;Ryo Mukai;Shoji Makino

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

    Takuya Yoshioka;Nobutaka Ito;Marc Delcroix;Atsunori Ogawa

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

    Hiroshi Sawada;Ryo Mukai;Shoko Araki;Shoji Makino

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

    Emmanuel Vincent;Shoko Araki;Fabian Theis;Guido Nolte

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

    Shoko Araki;Francesco Nesta;Emmanuel Vincent;Zbyněk Koldovský

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

    Emmanuel Vincent;Shoko Araki;Pau Bofill

  • Grouping Separated Frequency Components by Estimating Propagation Model Parameters in Frequency-Domain Blind Source Separation

    H. Sawada;S. Araki;R. Mukai;S. Makino

  • The 2010 signal separation evaluation campaign (SiSEC2010): audio source separation

    Shoko Araki;Alexey Ozerov;Vikrham Gowreesunker;Hiroshi Sawada

  • Measuring Dependence of Bin-wise Separated Signals for Permutation Alignment in Frequency-domain BSS

    H. Sawada;S. Araki;S. Makino

  • Blind Extraction of Dominant Target Sources Using ICA and Time-Frequency Masking

    H. Sawada;S. Araki;R. Mukai;S. Makino

  • Frequency-Domain Blind Source Separation

    Shoji Makino;Hiroshi Sawada;Shoko Araki

  • A Multichannel MMSE-Based Framework for Speech Source Separation and Noise Reduction

    Mehrez Souden;Shoko Araki;Keisuke Kinoshita;Tomohiro Nakatani

  • Improving Speaker Discrimination of Target Speech Extraction With Time-Domain Speakerbeam

    Marc Delcroix;Tsubasa Ochiai;Katerina Zmolikova;Keisuke Kinoshita

  • Exploring multi-channel features for denoising-autoencoder-based speech enhancement

    Shoko Araki;Tomoki Hayashi;Marc Delcroix;Masakiyo Fujimoto

  • Online MVDR Beamformer Based on Complex Gaussian Mixture Model With Spatial Prior for Noise Robust ASR

    Takuya Higuchi;Nobutaka Ito;Shoko Araki;Takuya Yoshioka

  • A Two-Stage Frequency-Domain Blind Source Separation Method for Underdetermined Convolutive Mixtures

    Hiroshi Sawada;Shoko Araki;Shoji Makino

  • Low-Latency Real-Time Meeting Recognition and Understanding Using Distant Microphones and Omni-Directional Camera

    T. Hori;S. Araki;T. Yoshioka;M. Fujimoto

Frequent Co-Authors

Shoji Makino
Shoji Makino Waseda University
Hiroshi Sawada
Hiroshi Sawada NTT (Japan)
Marc Delcroix
Marc Delcroix NTT (Japan)
Takuya Yoshioka
Takuya Yoshioka Microsoft (United States)
Hiroshi Saruwatari
Hiroshi Saruwatari University of Tokyo
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University
Hirokazu Kameoka
Hirokazu Kameoka NTT (Japan)
Nobutaka Ono
Nobutaka Ono Tokyo Metropolitan University

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