Signal Processing Research Group
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NTT Communication Science Laboratories
Media Information Laboratory
Recognition Research Group
Signal Processing Research Group
Communication environment research group
Innovative Communication Laboratory
Human and Information Science　Laboratory
Moriya Research Laboratory
NTT Science and Core Technology Laboratory Group
Nippon Telegraph and Telephone Corporation (NTT)

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Publications

2003

Journal Papers

  1. H. Sawada, R. Mukai, S. Araki, S. Makino, “Polar Coordinate based Nonlinear Function for Frequency Domain Blind Source Separation,” IEICE Trans. Fundamentals, vol.E86-A, no.3, pp. 590-596, March 2003.
  2. 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.
  3. S. Araki, S. Makino, Y. Hinamoto(NAIST), 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.

Book Chapter, Tutorial Papers

Peer-reviewed Conference Papers

  1. R. Mukai, H. Sawada, S. Araki, S. Makino, “Real-Time Blind Source Separation for Moving Speakers using Blockwise ICA and Residual Crosstalk Subtraction,” ICA2003, pp. 975-980, April 2003.
  2. H. Sawada, R. Mukai, S. Araki, S. Makino, “A Robust and Precise Method for Solving the Permutation Problem of Frequency-Domain Blind Source Separation,” ICA 2003, pp. 505-510, April 2003.
  3. R. Mukai, H. Sawada, S. Araki, S. Makino, “Robust Real-Time Blind Source Separation for Moving Speakers in a Room,” ICASSP2003, pp. 469-472, April 2003.
  4. H. Sawada, R. Mukai, S. Araki, S. Makino, “A Robust Approach to the Permutation Problem of Frequency-Domain Blind Source Separation,” ICASSP 2003, pp. 381-384, April 2003.
  5. T. Hori, D. Willett, and Y. Minami, “Language model adaptation using WFST-based speaking-style translation,” in Proc. ICASSP2003, Vol. 1, pp. 228-231, April 2003.
  6. C. Hori, T. Hori, H. Isozaki, E. Maeda, S. Katagiri, and S. Furui, “Deriving Disambiguous Queries in a Spoken Interactive ODQA System,” in Proc. ICASSP2003, Vol.1, pp. 384-387 April, 2003.
  7. T. Hori, D. Willett, and Y. Minami, “Paraphrasing spontaneous speech using weighted finite-state transducers,” in Proc. SSPR2003, pp.219-222 April, 2003.
  8. C. Hori, T. Hori, H. Isozaki, E. Maeda, S. Katagiri, and S. Furui, “Study on Spoken Interactive Open Domain Question Answering,” in Proc. SSPR2003, pp.111-113 April 2003.
  9. S. Araki, S. Makino, H. Sawada, A. Blin and R. Mukai, “Underdetermined Blind Separation of Convolutive Mixtures of Speech with Binary Masks and ICA,” NIPS 2003 workshop on ICA: Sparse Representations in Signal Processing, December, 2003. (We did not have the proceedings in the workshop).
  10. A. Blin, S. Araki and S. Makino, “Blind Source Separation when Speech Signals Outnumber Sensors using a Sparseness-Mixing Matrix Combination,” IWAENC2003, pp. 211-214, 2003.
  11. H. Sawada, R. Mukai, S. de la Kethulle, S. Araki and S. Makino, “Spectral Smoothing for Frequency-Domain Blind Source Separation,” IWAENC2003, pp.311-314, 2003.
  12. M. Knaak, S. Araki , S. Makino, “Geometrically Constraint ICA for a Convolutive Mixtures of Sound,” ICASSP2003, Vol. II, pp. 725-728, 2003.
  13. M. Knaak, S. Araki, S. Makino, “Geometrically Constraint ICA for a Robust Separation of Sound Mixtures,” ICA2003, pp. 951-956, 2003.
  14. R. Aichner, H. Buchner, S. Araki, S. Makino, “On-line Time-domain Blind Source Separation of Nonstationary Convoluved Signals,” ICA2003, pp. 987-992, 2003.
  15. R. Mukai, H. Sawada, S. de la Kethulle, S. Araki and S. Makino, “Array Geometry Arrangement for Frequency Domain Blind Source Separation,” IWAENC2003, pp.219-222, 2003.
  16. 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.
  17. 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.
  18. S. Araki, S. Makino, R. Aichner, T. Nishikawa(NAIST), and H. Saruwatari(NAIST), “Subband Based Blind Source Separation with Appropriate Processing for Each Frequency Band,” ICA2003, pp. 499-504, 2003 .
  19. S. Watanabe, Y. Minami, A. Nakamura and N. Ueda, “Application of Variational Bayesian Estimation and Clustering to Acoustic Model Adaptation,” Proc. ICASSP'03. vol. 1, pp. 568-571, 2003.
  20. S. Watanabe, Y. Minami, A. Nakamura and N. Ueda, “Bayesian Acoustic Modeling for Spontaneous Speech Recognition,” Proc. SSPR'03. pp. 47-50, 2003.
  21. T. Nishikawa, H. Saruwatari, K. Shikano, S. Araki , S. Makino, “Multistage ICA for Blind Source Separation of Real Acoustic Convolutive Mixture,” ICA2003, pp. 523-528, 2003.
  22. C. Hori, T. Hori, H. Tsukada, H. Isozaki, Y. Sasaki, and E. Maeda, “Spoken Interactive ODQA System: SPIQA,” in Proc. ACL2003, Companion Volume to the Proceedings of the Conference, pp.153-156, 2003.
  23. T. Hori, C. Hori, and Y. Minami, “Speech summarization using weighted finite-state transducers,” in Proc. Eurospeech2003, pp.2817-2820, 2003.
  24. C. Hori, T. Hori, and S. Furui, “Evaluation methods for automatic speech summarization,” in Proc. Eurospeech2003, pp. 2825-2828, 2003.

Other Conference Papers

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