My research

I'm interested in...

Blind Signal Separation of convolutive mixtures, Speech Signal Separation (under reverberation), Speech extraction, Speech diarization, Communication Scene Analysis, Auditory Scene Analysis

at NTT CS labs. (Selected papers. Complete paper list.

Journal Papers, Letters

• S. Araki, R. Mukai, S. Makino, T. Nishikawa(NAIST) and H. Saruwatari(NAIST), ``The Fundamental Limitation of Frequency Domain Blind Source Separation for Convolutive Mixtures of Speech,'' IEEE Trans. Speech Audio Processing, Vol. 11, No. 2, pp. 109-116, 2003. [pdf]
• S. Araki, S. Makino, Y. Hinamoto, R. Mukai, T. Nishikawa(NAIST) and H. Saruwatari(NAIST), ``Equivalence between Frequency Domain Blind Source Separation and Frequency Domain Adaptive Beamforming for Convolutive Mixtures'', EURASIP Journal on Applied Signal Processing, vol. 2003, no. 11, pp. 1157--1166, 2003.[pdf]
• S. Araki, S. Makino, R. Aichner(Univ. Erlangen-Nuremberg), T. Nishikawa(NAIST) and H. Saruwatari(NAIST), ``Subband-based Blind Separation for Convolutive Mixtures of Speech,'' IEICE Trans. Fundamentals, E88-A(12), pp. 3593--3603, 2005. [pdf]
• S. Araki, H. Sawada, R. Mukai and S. Makino, ``Underdetermined Blind Sparse Source Separation for Arbitrarily Arranged Multiple Sensors,'' Signal Processing, doi:10.1016/j.sigpro.2007.02.003, 2007 (available online at http://www.sciencedirect.com and http://dx.doi.org/10.1016/j.sigpro.2007.02.003).
• S. Araki, H. Sawada, R. Mukai and S. Makino, "DOA Estimation for Multiple Sparse Sources with Arbitrarily Arranged Multiple Sensors," Journal of Signal Processing Systems, doi:10.1007/s11265-009-0413-9, 2009 (available online at http://www.springerlink.com/content/8w54h51v31086776/)
• S. Araki, T. Nakatani, and H. Sawada, "Sparse source separation based on simultaneous clustering of source locational and spectral features", Acoustical Science and Technology, Acoustic Letter, vol. 32, no. 4, July, 2011.
• H. Sawada, S. Araki and S. Makino, "Underdetermined Convolutive Blind Source Separation via Frequency Bin-wise Clustering and Permutation Alignment," IEEE Trans. Audio, Speech, and Language Processing, vol.19, no.3, pp.516-527, March 2011.
• T. Hori, S. Araki, T. Yoshioka, M. Fujimoto, S. Watanabe, T. Oba, A. Ogawa, K. Otsuka, D. Mikami, K. Kinoshita, T. Nakatani, A. Nakamura, and J. Yamato, "Low-latency Real-time Meeting Recognition and Understanding Using Distant Microphones and Omni-directional Camera," IEEE Trans. ASLP, Vol. 20, No. 2, pp. 499-513, 2012.
• M. Souden, S. Araki, K. Kinoshita, T. Nakatani and H. Sawada, "A Multichannel MMSE-Based Framework for Speech Sources Separation and Noise Reduction," IEEE Trans. Audio, Speech and Language Processing, no.9, vol.11, pp. 1913-1928, 2013.
• T. Higuchi, N. Ito, S. Araki, T. Yoshioka, M. Delcroix, and T. Nakatani, "Online MVDR Beamformer Based on Complex Gaussian Mixture Model with Spatial Prior for Noise Robust ASR," IEEE Trans on TASLP, 2017.
• S. Emura, S. Araki, T. Nakatani, and N. Harada, "Distortionless beamforming optimized with l1 norm minimization," IEEE signal processing letters, 2019.
• K. Yamamoto, T. Irino, S. Araki,, K. Kinoshita, and T. Nakatani, "GEDI: Gammachirp Envelope Distortion Index for Predicting Intelligibility of Enhanced Speech," Speech Communication, vol. 123, pp. 43--58, Oct. 2020.
• S. Emura, H. Sawada, S. Araki, and N. Harada, "Multi-delay Sparse Approach to Residual Crosstalk Reduction for Blind Source Separation," IEEE Signal Processing Letters, vol. 27, pp. 1630-1634, Sept. 2020.
• R. Ikeshita, T. Nakatani, and S. Araki, "Block Coordinate Descent Algorithms forAuxiliary-Function-Based Independent Vector Extraction," IEEE Transactions on Signal Processing,vol. 69, pp. 3252--3267, 2021.

Book Chapter

• S. Araki, S. Makino, Subband Based Blind Source Separation, In J. Benesty, S. Makino, and J. Chen, editors, Speech Enhancement, pp. 329--352, Springer, March 2005.
• H. Sawada, R. Mukai, S. Araki and S. Makino, Frequency-domain blind source separation, In J. Benesty, S. Makino, and J. Chen, editors, Speech Enhancement, pp.299--327, Springer, March 2005.
• R. Mukai, H. Sawada, S. Araki and S. Makino, Real-time blind source separation for moving speech signals, In J. Benesty, S. Makino, and J. Chen, editors, Speech Enhancement, pp.353--369, Springer, March 2005.
• S. Makino, H. Sawada, R. Mukai, and S. Araki, ''Blind source separation of convolutive mixtures of audio signals in frequency domain, '' in Topics in Acoustic Echo and Noise Control, E. Haensler and G. Schmidt, Eds., Springer, 2006.
• S. Araki, H. Sawada and S. Makino, ''K-means based Underdetermined Blind Speech Separation,'' in Blind Speech Separation, S. Makino T.-W. Lee and H. Sawada, Eds., Springer, 2007.
• H. Sawada, S. Araki, and S. Makino, ''Frequency-Domain Blind Source Separation,'' in Blind Speech Separation, S. Makino T.-W. Lee and H. Sawada, Eds., Springer, 2007.
• S. Makino, S. Araki, and H. Sawada, "Underdetermined Blind Source Separation using Acoustic Arrays", in Handbook on Array Processing and Sensor Networks, S. Haykin and K.J. Ray Liu, Eds, Wiley, 2008.
• S. Makino, S. Araki, S. Winter, H. Sawada, "Underdetermined Blind Source Separation using Acoustic Arrays," Handbook on Array Processing and Sensor Networks, S. Haykin, and K. J. R. Liu Eds., Wiley, 2009.
• N. Ito, S. Araki, and T. Nakatani, "Multi-channel audio source separation by modelling audio directional statistics," in Audio Source Separation, S. Makino Ed., Springer, 2017.
• M. I. Mandel, S. Araki, and T.Nakatani, "Multichannel classification and clustering approaches," in Audio Source Separation and Speech Enhancement, E.Vincent, T.Virtanen, and S.Gannot, Eds., John Wiley & Sons, Oct., 2018 (coming soon).

International Conferences

[2001-2005]
• S. Araki, S. Makino, T. Nishikawa, and H. Saruwatari, ``Fundamental Limitation of Frequency Domain Blind Source Separation for Convolutive Mixture of Speech,'' IEEE International Conference on Acoustics, Speech, and Signal (ICASSP2001), pp. 2737--2740, May, 2001.
• S. Araki, S. Makino, R. Mukai, and H. Saruwatari, ``Equivalence between Frequency Domain Blind Source Separation and Frequency Domain Adaptive Null Beamformers,'' 7th European Conference on Speech Communication and Technology (Eurospeech2001), vol.4, pp. 2595-2598, Sept., 2001.
• R. Aichner, S. Araki, S. Makino, T. Nishikawa(NAIST), and H. Saruwatari(NAIST), ``Time domain Blind Source Separation of non-stationary convolved signals by utilizing geometric beamforming,'' NNSP2002, pp. 445-454, 2002. [pdf]
• S. Araki, S. Makino, R. Aichner, T. Nishikawa(NAIST), and H. Saruwatari(NAIST), ``Subband Based Blind Source Separation for Convolutive Mixtures of Speech,'' ICASSP2003, Vol. V, pp. 509--512, 2003.
• M. Knaak (Technical University Berlin), S. Araki, S. Makino,`` Geometrically Constraint ICA for a Convolutive Mixtures of Sound,'' ICASSP2003, Vol. II, pp. 725--728, 2003.
• S. Araki, S. Makino, A. Blin, R. Mukai and H. Sawada, ``Blind Separation of More Speech than Sensors with Less Distortion by Combining Sparseness and ICA,'' IWAENC2003, pp.271--274, 2003. -->sound demos. [pdf]
• S. Araki, S. Makino, H. Sawada and R. Mukai, ``Reducing musical noise by a fine-shift overlap-add method applied to source separation using a time-frequency mask,'' ICASSP2005, vol. III, pp. 81-84, March 2005. [pdf], -->sound demos.
• S. Araki, H. Sawada, R. Mukai and S. Makino,``A novel blind source separation method with observation vector clustering,'' , IWAENC2005, pp.117--120, 2005. [pdf], -->sound demos.
[2006-2010]
• S. Araki, H. Sawada, R. Mukai and S. Makino,``DOA estimation for multiple sparse sources with normalized observation vector clustering,'', ICASSP2006, Vol. 5, pp.33--36, 2006. [pdf]
• S. Araki, H. Sawada, R. Mukai and S. Makino, "Performance evaluation of sparse source separation and DOA estimation with observation vector clustering in reverberant environments," IWAENC2006, 2006. [pdf]
• J. Cermak, S. Araki, H. Sawada and S. Makino, "Blind Speech Separation by Combining Beamformers and a Time Frequency Binary Mask," IWAENC2006, 2006. [pdf]
• S. Araki, H. Sawada and S. Makino, "Blind Speech Separation in a Meeting Situation," ICASSP2007, vol. I, pp. 41--45, 2007. [pdf], [demo](Please use IE for the demo.)
• S. Araki, M. Fujimoto, K. Ishizuka, H. Sawada, and S. Makino, "Speaker indexing and speech ehnancement in real meetings / conversations," ICASSP2008, pp.93--96, 2008. [pdf]
• S. Araki, M. Fujimoto, K. Ishizuka, H. Sawada, and S. Makino, "A DOA based speaker diarization system for real meetings," HSCMA2008, pp.29--32, 2008 (invited).[pdf]
• S. Araki, T. Nakatani, H. Sawada, and S. Makino, "Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior," ICASSP2009, pp.33-36, 2009. [pdf]
• S. Araki, T. Nakatani, H. Sawada, and S. Makino, "Stereo source separation and source counting with MAP estimation with Dirichlet prior considering spatial aliasing problem," ICA2009, pp. 742--750, 2009. [pdf]
• K. Ishiguro, T. Yamada, S. Araki and T. Nakatani, "A Probabilistic Speaker Clustering for DOA-based Diarization," IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2009), pp. 241-244, 2009. [pdf]
• K. Ishizuka, S. Araki, K. Otsuka, T. Nakatani, and M. Fujimoto, "A speaker diarization method based on the probabilistic fusion of audio-visual location information," Proceedings of the 11th International Conference on Multimodal Interfaces and Workshop on Machine Learning for Multi-modal Interaction (ICMI-MLMI2009), pp.55-62, 2009.
• K. Otsuka, S. Araki, D. Mikami, K. Ishizuka, M. Fujimoto, and J. Yamato: "Realtime Meeting Analysis and 3D Meeting Viewer Based on Omnidirectional Multimodal Sensors", Proc. ICMI-MLMI2009, 2009.
• T. Tashiro, S. Araki, Y. Nakanishi, H. Kimura, K. Kumozaki and M. Miyoshi, "Optical Access System with Emergency Voice Communication Using Blind Speech Separation for Demultiplexing Randomly Mixed Signals," GLOBECOM, 2009.
• S. Araki, T. Nakatani and H. Sawada, "Simultaneous clustering of mixing and spectral model parameters for blind sparse source separation," ICASSP2010, 2010.
• S. Araki, A. Ozerov, V. Gowreesunker, H. Sawada, F. Theis, G. Nolte, D. Lutter, N. Duong, "The 2010 Signal Separation Evaluation Campaign (SiSEC2010): - Audio source separation - ," in Proc of LVA/ICA2010, 2010.
• S. Araki, F. Theis, G. Nolte, D. Lutter, A. Ozerov, V. Gowreesunker, H. Sawada, N. Duong, "The 2010 Signal Separation Evaluation Campaign (SiSEC2010): - Biomedical source separation - ," in Proc of LVA/ICA2010, 2010.
• S. Araki, T. Hori, M. Fujimoto, S. Watanabe, T. Yoshioka, T. Nakatani, "Online meeting recognizer with multichannel speaker diarization", Asilomar 2010. (invited)
[2011-2015]
• S. Araki and T. Nakatani, "Hybrid Approach for Multichannel Source Separation Combining Time-frequency Mask with Multi-channel Wiener Filter," ICASSP2011, 2011.
• S. Araki, T. Hori, T. Yoshioka, M. Fujimoto, S. Watanabe, T. Oba, A. Ogawa, K. Otsuka, D. Mikami, M. Delcroix, K. Kinoshita, T. Nakatani, A. Nakamura, and J. Yamato, "Demonstration on low-latency meeting recognition and understanding using distant microphones," HSCMA2011, 2011.
• K. Iso, S. Araki, S. Makino, T. Nakatani, H. Sawada, T. Yamada, and A. Nakamura, "BLIND SOURCE SEPARATION OF MIXED SPEECH IN A HIGH REBERBERATION ENVIRONMENT," HSCMA2011, 2011.
• T. Maruyama, Shoko Araki, T. Nakatani, S. Miyabe, T. Yamada, S. Makino and A. Nakamura, "NEW ANALYTICAL UPDATE RULE FOR TDOA INFERENCE FOR UNDERDETERMINED BSS IN NOISY ENVIRONMENTS," ICASSP2012.
• S. Araki and T. Nakatani,"Sparse vector factorization for underdetermined BSS using wrapped-phase GMM and source log-spectral prior," ICASSP2012, 2012.
• S. Araki, F. Nesta, E. Vincent, Z. Koldovsky, G. Nolte, A. Ziehe, and A. Benichoux, "SiSEC2011 Overview: Audio source separation," in Proc. LVA/ICA2012, pp. 414--422, Mar. 2012.
• S. Araki and T. Hayashi, M. Delcroix, M. Fujimoto, K. Takeda and T. Nakatani,"Exploring multi-channel features for denoising-autoencoder-based speech enhancement," ICASSP2015, 2015.
• N. Ito, S. Araki, and T. Nakatani, "Permutation-free Clustering of Relative Transfer Function Features for Blind Source Separation," Proc. EUSIPCO 2015.
• T. Yoshioka, N. Ito, M. Delcroix, A. Ogawa, K. Kinoshita, M. Fujimoto, C. Yu, W. J. Fabian, M. Espi, T. Higuchi, S. Araki, and T. Nakatani, "NTT CHIME-3 SYSTEM: ADVANCES IN SPEECH ENHANCEMENT AND RECOGNITION FOR MOBILE MULTI-MICROPHONE DEVICES," ASRU2015, Dec., 2015. (Best paper award honorable mention)
[2016-]
• H. Meutzner, S. Araki, M. Fujimoto and T. Nakatani, "A Generative-Discriminative Hybrid Approach to Multi-Channel Noise Reduction for Robust Automatic Speech Recognition," ICASSP2016, 2016.
• S. Araki, M. Okada, T. Higuchi, A. Ogawa and T. Nakatani, "SPATIAL CORRELATION MODEL BASED OBSERVATION VECTOR CLUSTERING AND MVDR BEAMFORMING FOR MEETING RECOGNITION," ICASSP2016, 2016.
• S. Araki, N. Ito, D. Marc, A. Ogawa, K. Kinoshita, T. Higuchi, T. Yoshioka, D. Tran, S. Karita, and T. Nakatani, "Online Meeting Recognition in Noisy Environments with Time-Frequency Mask Based MVDR Beamforming," Proc. HSCMA, Mar. 2017.
• K. Yamamoto, T. Irino, T. Matsui, S. Araki, K. Kinoshita and T. Nakatani, "Predicting Speech Intelligibility Using Gammachirp Envelope Distortion Analysis Method Based on the Signal-to-Distortion Ratio", Interspeech2017, 2017.
• S. Araki, N. Ono, K. Kinoshita and M.Delcroix, "MEETING RECOGNITION WITH ASYNCHRONOUS DISTRIBUTED MICROPHONE ARRAY, " ASRU2017, 2017
• S. Araki, N. Ono, K. Kinoshita, and M. Delcroix, "MEETING RECOGNITION WITH ASYNCHRONOUS DISTRIBUTED MICROPHONE ARRAY USING BLOCK-WISE REFINEMENT OF MASK-BASED MVDR BEAMFORMER," ICASSP2018, 2018.
• N. Ito, S. Araki, and T. Nakatani, "FastFCA: Joint Diagonalization Based Acceleration of Audio Source Separation Using a Full-Rank Spatial Covariance Model," Proc. EUSIPCO, Sep. 2018 .
• S. Araki, N. Ono, K. Kinoshita, and M. Delcroix,"Comparison of reference microphone selection algorithms for distributed microphone array based speech enhancement in meeting recognition scenarios," IWAENC2018, 2018 .
• S. Araki, N. Ono, K. Kinoshita, and M. Delcroix, "Estimation of sampling frequency mismatch between distributed asynchronous microphones under existence of source movements with stationary time periods detection," ICASSP2019, 2019
• S. Araki, N. Ono, K. Kinoshita, and M. Delcroix, "PROJECTION BACK ONTO FILTERED OBSERVATIONS FOR SPEECH SEPARATION .WITH DISTRIBUTED MICROPHONE ARRAY," CAMSAP2019, 2019
• K. Arai, S. Araki, A. Ogawa, K. Kinoshita, T. Nakatani, K. Yamamoto, and T. Irino, "Predicting speech intelligibility of enhanced speech using phone accuracy of DNN-based ASR system," Interspeech2019, 2019.
• Tomohiro Nakatani, Kesuke Kinoshita, Rintaro Ikeshita, Hiroshi Sawada, and S. Araki, "Simultaneous denoising dereverberation, and source separation using a unified convolutional beamformer," Proc. WASPAA, 2019, 2019.
• C. Schymura, T. Ochiai, M. Delcroix, K. Kinoshita, T. Nakatani, S. Araki and D. Kolossa, "A DYNAMIC STREAM WEIGHT BACKPROP KALMAN FILTER FOR AUDIOVISUAL SPEAKER TRACKING," ICASSP2020, 2020.
• M. Delcroix, T. Ochiai, K. Zmolikova, K. Kinoshita, N. Tawada, T. Nakatani and S. Araki, "Improving speaker discrimination of target speech extraction with time-domain SpeakerBeam," ICASSP2020, 2020.
• R.Ikeshita, T. Nakatani, S. Araki, "Overdetermined independent vector analysis," ICASSP2020, 2020.
• T. Nakatani, R Takahashi, T. Ochiai, K. Kinoshita, M. Delcroix, R. Ikeshita and S. Araki, "DNN-SUPPORTED MASK-BASED CONVOLUTIONAL BEAMFORMING FOR SIMULTANEOUS DENOISING, DEREVERBERATION, AND SOURCE SEPARATION," ICASSP2020, 2020.
• K. Kinoshita, M. Delcroix, S. Araki and T. Nakatani, "Tackling real noisy reverberant meetings with all-neural source separation, counting, and diarization system, " ICASSP2020, 2020.
• T. Ochiai, M. Delcroix, R. Ikeshita, K. Kinoshita, T. Nakatani and. S. Araki, "BEAM-TASNET: TIME-DOMAIN AUDIO SEPARATION NETWORK MEETS FREQUENCY-DOMAIN BEAMFORMER," ICASSP2020, 2020.
• S. Emura, S. Araki, H. Sawada and N. Harada, "A FREQUENCY-DOMAIN BSS METHOD BASED ON L1 NORM, UNITARY CONSTRAINT, AND CAYLEY TRANSFORM," ICASSP2020, 2020.
• C. Schymura, T. Ochiai, M. Delcroix, K. Kinoshita, T. Nakatani, S. Araki and D. Kolossa, "Exploiting Attention-based Sequence-to-Sequence Architectures for Sound Event Localization," EUSIPCO2020, 2020.
• K. Arai, S. Araki, A. Ogawa, K. Kinoshita, T. Nakatani, and T. Irino, "Predicting intelligibility of enhanced speech using posteriors derived from DNN-based ASR system," Interspeech2020, 2020.
• T. Nakatani, R. Ikeshita, K. Kinoshita, H. Sawada and S. Araki, "Computationally efficient and versatile framework for joint optimization of blind speech separation and dereverberation," Interspeech2020, 2020.
• T. Ochiai, M. Delcroix, Y. Koizumi, H. Ito, K. Kinoshita, S. Araki, "Listen to What You Want: Neural Network-based Universal Sound Selector," Interspeech2020, 2020.
• A. Aroudi, M. Delcroix, T. Nakatani, K. Kinoshita, S. Araki, and S. Doclo, "COGNITIVE-DRIVEN CONVOLUTIONAL BEAMFORMING USING EEG-BASED AUDITORY ATTENTION DECODING," MLSP2020, 2020.
• T. Ueda, T. Nakatani. R. Ikeshita, K. Kinoshita, S. Araki, and S. Makino,"LOWLATENCY ONLINE BLIND SOURCE SEPARATION BASED ON JOINT OPTIMIZATION WITH BLIND DEREVERBERATION,"ICASSP 2021, 2021.
• T. Nakatani, R. Ikeshita, K. Kinoshita, H. Sawada and S. Araki, "BLIND AND NEURAL NETWORK-GUIDED CONVOLUTIONAL BEAMFORMER FOR JOINT DENOISING, DEREVERBERATION, AND SOURCE SEPARATION,"ICASSP 2021, 2021.
• T. Ochiai, M. Delcroix, T. Nakatani, R. Ikeshita, K. Kinoshita, and S. Araki,, "NEURAL NETWORK-BASED VIRTUAL MICROPHONE ESTIMATOR," ICASSP 2021, 2021.
• J. Wissing, B. Boenninghoff, D. Kolossa, T. Ochiai, M. Delcroix, K. Kinoshita, T. Nakatani, S. Araki , C. Schymura, "DATA FUSION FOR AUDIOVISUAL SPEAKER LOCALIZATION: EXTENDING DYNAMIC STREAM WEIGHTS TO THE SPATIAL DOMAIN," ICASSP 2021, 2021.
• H. Sato, T. Ochiai, K. Kinoshita, M. Delcroix, T. Nakatani, and S. Araki, "Multimodal Attention Fusion for Target Speaker Extraction, " SLT2021, 2021.
• T. Nakatani, R. Ikeshita, N. Kamo, K. Kinoshita, S. Araki, H. Sawada, "Switching Convolutional Beamformer," EUSIPCO2021, 2021.
• T. Ueda, T. Nakatani, R. Ikeshita, K. Kinoshita, S. Araki, S. Makino, "Low Latency Online Source Separation and Noise Reduction Based on Joint Optimization with Dereverberation," EUSIPCO2021, 2021.
• Christopher Schymura, Benedikt Bonninghoff, Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Tomohiro Nakatani, Shoko Araki, Dorothea Kolossa, "PILOT: Introducing Transformers for Probabilistic Sound Event Localization," in Proceedings of Interspeech, 2021.
• Marc Delcroix, Jorge Bennasar Vazquez, Tsubasa Ochiai, Keisuke Kinoshita, Shoko Araki, "Few-Shot Learning of New Sound Classes for Target Sound Extraction," in Proceedings of Interspeech, 2021.
• Ayako Yamamoto, Toshio Irino, Kenichi Arai, Shoko Araki , Atsunori Ogawa, Keisuke Kinoshita and Tomohiro Nakatani, "Comparison of Remote Experiments Using Crowdsourcing and Laboratory Experiments on Speech Intelligibility, " Interspeech2021, 2021.

Ph.D thesis

• Convolutive Blind Speech Separation with Independent Component Analysis and Sparse Component Analysis, Hokkaido university, Mar. 2007.

Award

• 19th Awaya Kiyoshi Science Promotion Award from Acoustical Society of Japan (2001)
• Best Paper Award from International Workshop on Acoustic Echo and Noise Control (2003.9)
• 19th TELECOM System Technology Award from the Telecommunications Advancement Foundation (2004.3)
• The Academic Encouragement Prize from IEICE (the Institute of Electronics, Information, and Communication Engineers) (2006.3)
• The Itakura Prize Innovative Young Researcher Award from Acoustical Society of Japan (2008.3)
• The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology, The Young Scientists' Prize, Apr. 2014.

Academic Activities

• ICA2003: Organizing committee member
• IWAENC2003: Finance chair
• EUSIPCO2006: Technical Program Committee Member, Special session co-organizer (on Underdetermined Sparse Audio Source Separation)
• WASPAA2007: Registration co-chairs
• ISCAS2008: Special session co-organizer (on Blind Separation and Dereverberation of Speech and Audio Signals)
• SiSEC2008(Signal Separation Evaluation Campaign): Evaluation chairs
• SiSEC2010(Signal Separation Evaluation Campaign): Evaluation chairs
• SiSEC2011(Signal Separation Evaluation Campaign): Evaluation chairs
• IEEE Audio & Acoustic Signal Processing Technical Committee Member, Jan. 2014 -- Dec. 2019.
• IEEE WIE (Women in Engineering), Kansai Section, Vice Chair, Feb. 2014 -- Dec. 2015.
• IEEE WIE (Women in Engineering), Kansai Section, Chair Jan. 2016-- Dec. 2017.
• IEEE Signal Processing Society HSCMA (Hands-free Speech Communication and Microphone Arrays) 2017, Technical Program Chair, Mar. 2016 -- Mar. 2017.
• IEEE WASPAA (Workshop on Applications of Signal Processing to Audio and Acoustics) 2017, Far East Liaison, Sept. 2016 -- Nov. 2017.
• IEEE IWAENC (International Workshop on Acoustic Signal Enhancement) 2018, Publications Chair, July 2017 -- Sept. 2018.
• The Acoustic Society of Japan, Executive council member, May 2017 -- May 2021.
• IEEE Japan Counsil, History Committee, Secretary, Jan. 2019 -- Dec. 2020.
• The Acoustic Society of Japan, Vice president, May 2021 --
• IEEE WASPAA (Workshop on Applications of Signal Processing to Audio and Acoustics) 2021, Technical Program Chair, Jan. 2021 -- Oct. 2021.


• Part-time lecturer at Graduate School of Information Science and Technology, the University of Tokyo, Apr. 2004.
• Invited lecturer at Winter School on Neuroinformatics, Sogang University, Seoul, January 29-30, 2009.
• Part-time lecturer at Faculty of Science and Engineering, Doshisha University, 2nd semester, 2009-2010.
• Part-time lecturer at Graduate Schoool of Information Science, Nara Institute of Science and Technology, 2012.

at Univ.

Master thesis

Master thesis at Ando Lab. @Univ. of Tokyo : Theory of effective sound transfer to basilar membrane and its application to an acoustic sensor

objective: understanding of the cochlea system, the improving of the sensitivity of the acoustic sensor mimicking a basilar membrane

1. Investigate how to make the input impedance of the fishbone sensor mimicking the basilar membrane
2. Match the sensor impedance and the impedance of the air with an exponential horn
3. Confirm the increase of the output signal with the circuit

• S. Ando, S. Araki, N. Ono, A. Kimachi, M. Harada and N. Ikeuchi, "Fishbone Acoustic Sensor with Digital PWM Controlled Frequency Characteristics," Technical Digest of the 17th Sensor Symposium, pp.359--362, Kawasaki, May 2000

Bachelor thesis

Bachelor thesis at Fujimura Lab. @Univ. of Tokyo : A Study on the Adaptive Category Analysis
--- The estimation of the spectrum and the proportion of each component from multi-spectral image data

• Senya Kiyasu, S. Araki, Hironori Takeuchi and Sadao Fujimura, ``Adaptive Spectral Unmixing for Estimation of Component Proportion,'' Proc. of the 1998 International Symposium on Noise Reduction for Imaging and Communication Systems (ISNIC'98), pp.239-244 (1998)