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

2006

Journal Papers

  1. T. Yoshioka, T. Hikichi, M. Miyoshi, and H. G. Okuno, “Common acoustical pole estimation from multi-channel musical audio signals,” IEICE Transactions on Fundamentals, vol. E89-A, no. 1, pp. 240-247, January 2006.
  2. J. Muramatsu, “Secret key agreement from correlated source outputs using low density parity check matrices,” IEICE Transactions on Fundamentals, vol.E89-A, no.7, pp.2036-2046, July 2006.
  3. J. Muramatsu, K. Yoshimura, and P. Davis, “Secret key capacity and advantage distillation capacity,” IEICE Transactions on Fundamentals, vol.E89-A, no.10, pp.2589-2596, October 2006.
  4. J. Muramatsu, K. Yoshimura, K. Arai, and P. Davis, “Secret key capacity for optimally correlated sources under sampling attack,” IEEE Transactions on Information Theory, vol.IT-52, no.11, pp.5140-5151, November 2006.
  5. H. Sawada, S. Araki, R. Mukai, S. Makino, “Blind extraction of dominant target sources using ICA and time-frequency masking,” IEEE Trans. Audio, Speech, and Language Processing, vol.14, no.6, pp.2165-2173, November 2006.
  6. K. Ishizuka and T. Nakatani, “A feature extraction method using subband based periodicity and aperiodicity decomposition with noise robust frontend processing for automatic speech recognition,” Speech Communication, Vol.48, No.11, pp.1447-1457, 2006.
  7. K. Ishizuka, T. Nakatani, Y. Minami, and N. Miyazaki, “Speech feature extraction method using subband-based periodicity and nonperiodicity decomposition,” The Journal of the Acoustical Society of America, Vol.120, No.1, pp.443-452, 2006.
  8. R. Mugitani, T. Kobayashi, K. Ishizuka, S. Amano, and K. Hiraki, “Audiovisual matching in lips and voice on vowel /i/ by Japanese infants,” The Journal of the Phonetic Society of Japan, Vol.10, No.1, pp.96-108, 2006 (in Japanese).
  9. R. Mukai, H. Sawada, S. Araki, S. Makino, “Frequency Domain Blind Source Separation of Many Speech Signals Using Near-field and Far-field Models,” EURASIP Journal on Applied Signal Processing, vol. 2006, Article ID 83683, 13 pages, 2006. doi:10.1155/ASP/2006/83683.
  10. S. Watanabe and A. Nakamura, “Speech recognition based on Student's t-distribution derived from total Bayesian framework,” IEICE D-II, vol. E89-D, no. 3, pp. 970-980, 2006
  11. S. Watanabe, A. Sako, and A. Nakamura, “Automatic Determination of Acoustic Model Topology using Variational Bayesian Estimation and Clustering for large vocabulary continuous speech recognition,” IEEE Transactions on Speech and Audio Processing, vol. 14, issue 3, pp. 855-872, 2006.

Book Chapter, Tutorial Papers

  1. A. Nakamura, S. Watanabe, T. Hori, E. McDermott, and S. Katagiri, “Advanced Computational Models and Learning Theories for Spoken Language Processing,” IEEE Computational Intelligence Magazine, vol. 1, issue 2, pp. 5-9, 2006.
  2. 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.

Peer-reviewed Conference Papers

  1. T. Yoshioka, T. Hikichi, and M. Miyoshi, “Second-order statistics based dereverberation by using nonstationarity of speech,” in Proceedings of the 2006 International Workshop on Acoustic Echo and Noise Control (IWAENC 2006), CD-ROM Proceedings, September 2006.
  2. T. Yoshioka, T. Hikichi, M. Miyoshi, and H. G. Okuno, “Robust decomposition of inverse filter of channel and prediction error filter of speech signal for dereverberation,” in Proceedings of the 2006 European Signal Processing Conference (EUSIPCO 2006), CD-ROM Proceedings, September 2006.
  3. T. Oba, T. Hori, and A. Nakamura, “Sentence Boundary Detection Using Sequential Dependency Analysis Combined with CRF-based Chunking,” ICSLP2006, pp. 284-289, September 2006.
  4. H. Sawada, S. Araki, R. Mukai and S. Makino, “Blind separation and localization of speeches in a meeting situation,” Asilomar 2006, pp. 1407-1411, October 2006.
  5. R. Mukai, H. Sawada, S. Araki and S. Makino, “Frequency Domain Blind Source Separation in a Noisy Environment,” Joint meeting of ASA and ASJ 2006, November 2006, (invited).
  6. H. Kato, Y. Nagahara, S. Araki, H. Sawada and S. Makino, “Parametric Pearson Approach based Independent Component Analysis for Frequency Domain Blind Speech Separation,” EUSIPCO2006, 2006.
  7. H. Sawada, S. Araki, R. Mukai and S. Makino, “On Calculating the Inverse of Separation Matrix in Frequency-Domain BSS,” ICA2006, pp. 691-699, 2006.
  8. H. Sawada, S. Araki, R. Mukai and S. Makino, “Solving the permutation problem of frequency-domain BSS when spatial aliasing occurs with wide sensor spacing,” ICASSP2006, vol. 5, pp. 77-80, 2006.
  9. J. Cermak, S. Araki, H. Sawada and S. Makino, “Blind Speech Separation by Combining Beamformers and a Time Frequency Binary Mask,” IWAENC2006, 2006.
  10. J. Cermak, S. Araki, H. Sawada and S. Makino, “Musical Noise Reduction in Time-frequency-binary-masking-based Blind Source Separation Systems,” 16th Czech-German Workshop, 2006.
  11. J. Muramatsu, K. Yoshimura, and P. Davis, “Secret key capacity and advantage distillation capacity,” Proceedings of the 2006 IEEE International Symposium on Information Theory, pp.2147-2151, 2006.
  12. J. Muramatsu, K. Yoshimura, K. Arai, and P. Davis, “Some results on secret key agreement from correlated sources,” Proceedings of the 5th Asian-European Workshop on Information Theory, Jeju, Korea, pp.10-13, 2006.
  13. K. Ishizuka and H. Kato, “A feature for voice activity detection derived from speech analysis with the exponential autoregressive model,” Proceedings of the 31st International Conference on Acoustics, Speech, and Signal Processing (ICASSP2006), Vol.1, pp.789-792, 2006.
  14. K. Ishizuka and Tomohiro Nakatani, “Study of noise robust voice activity detection based on periodic compnent to aperiodic component ratio,” Proceedings of ISCA Tutorial and Research Workshop on Statistical And Perceptual Audition (SAPA2006), pp.65-70, 2006.
  15. K. Yoshimura, J. Muramatsu, and P. Davis, “Conditions for consistency in time-delay systems,” Proceedings of the International Workshop on Synchronization Phenomena and Analyses, p.135, 2006.
  16. K. Yoshimura, J. Muramatsu, and P. Davis, “Consistency in time-delay systems with periodic feedback functions,” Proceedings of the 2006 International Symposium on Nonlinear Theory and its Applications, pp.287-290, 2006.
  17. R. Mukai, H. Sawada, S. Araki, S. Makino, “Blind Source Separation of Many Signals in the Frequency Domain,” ICASSP2006, vol.5, pp.969-972, 2006.
  18. S. Araki, H. Sawada, R. Mukai and S. Makino, “ Blind sparse source separation with spatially smoothed time-frequency masking,” IWAENC2006, 2006.
  19. 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.
  20. 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.
  21. S. Araki, H. Sawada, R. Mukai and S. Makino, “Normalized Observation Vector Clustering Approach for Sparse Source Separation,” EUSIPCO2006, (invited).
  22. S. Araki, H. Sawada, R. Mukai and S. Makino, “Underdetermined Sparse Source Separation of Convolutive Mixtures with Observation Vector Clustering,” ISCAS2006, pp. 3594-3597, 2006.
  23. S. Mizutani, J. Muramatsu, K. Arai, and P. Davis, “Noise-assisted quantization,” Proceedings of the 2006 International Symposium on Nonlinear Theory and its Applications, pp.843-846, 2006.
  24. S. Watanabe and A. Nakamura, “Acoustic model adaptation based on coarse/fine training of transfer vector using directional statistics,” Proc. ICASSP 2006 , vol. 1, pp. 1005-1008, 2006.
  25. T. Hori and A. Nakamura, “An extremely large vocabulary approach to named entity extraction from speech,” in Proc. ICASSP2006, Vol. 1, pp. 973-976, 2006.
  26. T. Hori, I. L. Hetherington, T. J. Hazen, and J. R. Glass, “Open-vocabulary spoken utterance retrieval using confusion networks,” in Proc. ICASSP2007, Vol. 1, pp. 973-976 2006.

Other Conference Papers

  1. K. Kinoshita, T. Nakatani and M. Miyoshi, “Spectral subtraction steered by multi-step forward linear prediction for single channel speech dereverberation,” Proc. Of International Conference on Acoustics, Speech, and Signal Processing(ICASSP), I, pp.817-820.

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