International Conferences

  1. Nevat I., Peters G.W., Septier F. and Matsui T. “Wind Storm Estimation using a Heterogeneous Sensor Network with High and Low Resolution Sensors”, IEEE International Conference on Communications (ICC 2015), 2015.
  2. Peters G.W., Andre Myrvoll T., Matsui T., Nevat I. and Septier F. “Communications Meets Copula Modelling: Non-Standard Dependence Features in Wireless Fading Channels”, The 2nd IEEE Global Conference on Signal and Information Processing (GlobalSIP2014), 2014.
  3. K. Markov and T. Matsui, “Dynamic music emotion recognition using state-space models”, MediaEval2014, 2014.
  4. Peters G.W., Nevat I., Lin S. and Matsui T, “Modelling Threshold Exceedence Levels for Spatial Stochastic Processes Observed by Sensor Networks”, IEEE-ISSNIP, 2014.
  5. Tatsuya Komatsu, Takanori Nishino, Gareth W. Peters, Tomoko Matsui, Kazuya Takeda “MODELING HEAD-RELATED TRANSFER FUNCTIONS VIA SPATIAL-TEMPORAL GAUSSIAN PROCESS,” Proc. ICASSP2013.
  6. Yasunori Ohishi, Daichi Mochihashi, Tomoko Matsui, Masahiro Nakano, Hirokazu Kameoka, Tomonori Izumitani, Kunio Kashino, “BAYESIAN SEMI-SUPERVISED AUDIO EVENT TRANSCRIPTION BASED ON MARKOV INDIAN BUFFET PROCESS,” Proc. ICASSP2013.
  7. Tatsuya Komatsu, Gareth W. Peters, Tomoko Matsui, Ido Nevat, Kazuya Takeda, “Modeling Room Impulse Response via Composites of Spatial-Temporal GP's,” Proc. ICA 2013.
  8. Konstantin Markov, Tomoko Matsui, “Music Genre Classification Using Gaussian Process Models,” Proc. MLSP2013.
  9. H. Majima, R. Torres, H. Kawanami, S. Hara, T. Matsui, H. Saruwatari, and K. Shikano, “Evaluation of Invalid Input Discrimination Using BOW for Speech-Oriented  Guidance System,” Proc. IWSDS, 2012.
  10. R. Torres, H. Kawanami, T. Matsui, H. Saruwatari, K. Shikano, “Topic Classification of Spoken Inquiries Using Transductive Support Vector Machine,” Proc. IWSDS, 2012.
  11. H. Majima, R. Torres, Y. Fujita, H. Kawanami, T. Matsui, H. Saruwatari, and K. Shikano, “Spoken Inquiry Discrimination Using Bag-of-Words for Speech-Oriented Guidance System Guidance System,” Proc. Interspeech, 2012.
  12. K. Markov and T. Matsui, “MUSIC GENRE CLASSIFICATION USING SELF-TAUGHT LEARNING VIA SPARSE CODING,” Proc. of International Conference on Acoustic, Speech and Signal Processing (ICASSP 2012), 2012.
  13. T. Matsui, M. Goto, J.-P. Vert and Y. Uchiyama, “Gradient-based musical feature extraction based on scale-invariant feature transform,” Proc. of the 19th European Signal Processing Conference (EUSIPCO 2011), 2011.
  14. R. Torres, H. Kawanami, T. Matsui, H. Saruwatari, K. Shikano, “Topic Classification of Spoken Inquiries Based on Stacked Generalization,” Proc. of APSIPA Annual Summit and Conference 2011 (APSIPA2011), Xi'an, China, 2011.
  15. Y. Fujita, S. Takeuchi, H. Kawanami, T. Matsui, H. Saruwatari, K. Shikano, “Out-of-Task Utterance Detection Basedon Bag-of-Words Using Automatic Speech Recognition Results,” Proc. of APSIPA Annual Summit and Conference 2011 (APSIPA2011), Xi'an, China, 2011.
  16. S. Itahashi, T. Kajiyama, K. Yamakawa, Y. Ishimoto and T. Matsui, “Interactive Visualization and Search System for Speech Corpora,” Proc. Oriental COCOSDA 2011, 2011.
  17. T. Yamada, N. Nakamichi, T. Matsui, “Extraction of User Interaction Patterns for Low-usability Web Pages,” Proc. HCI International 2011, pp.144-152, 2011.
  18. S. Itahashi, K. Yamakawa, T. Matsui, and Y. Ishimoto, “A proposal for Standardizing Catalogue Specifications of Speech Corpora,” Proc. Oriental COCOSDDA, Nov. 2010
  19. R. Torres, S. Takeuchi, H. Kawanami, T. Matsui, H. Saruwatari, and K. Shikano, “Comparison of Methods for Topic Classification in a Speech-Oriented Guidance System,” Proc. Interspeech, Sep. 2010.
  20. Y. Itoh, H. Nishizaki, X. Hu, H. Nanjo, T. Akiba, T. Kawahara, S. Nakagawa, T. Matsui, Y. Yamashita and K. Aikawa, "Constructing Japanese Test Collections for Spoken Term Detection", 11th International Congress on Spoken Language Processing (INTERSPEECH 2010 ICSLP), pp.677-680, 2010.
  21. M. Yamada, M. Sugiyama, G. Wichern, and T. Matsui (2010). Acceleration of Sequence Kernel Computation for Real-time Speaker Identification, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing.
  22. Tomoko Matsui, Shin'ichi Sato, Yuji Uchiyama (2009). ISM TRECVID2009 High-level Feature Extraction, Proc. TRECVID Workshop.
  23. Makoto Yamada, Masashi Sugiyama, Tomoko Matsui (2009). Covariate Shift Adaptation for Semi-Supervised Speaker Identification, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing.
  24. Jean-Philippe Vert, Tomoko Matsui, Shin'ichi Satoh, Yuji Uchiyama (2009). High-Level Feature Extraction Using SVM with Walk Based Graph Kernel, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing.
  25. Kimiko Yamakawa, Hideaki Kikiuchi, Tomoko Matsui,  and Shuichi Itahashi (2009). Utilization of Acoustical Feature in Visualization of Multiple Speech Corpora, Proc. Oriental COCOSDA 2009.
  26. Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Sato, Yuji Uchiyama (2008). ISM TRECVID2008 High-level Feature Extraction, Proc. TRECVID Workshop.
  27. Hideki Okamoto, Tomoko Matsui, Hiromichi Kawanami, Hiroshi Saruwatari,Kiyohiro Shikano (2008). Speaker Verification with Non-Audible Murmur Segments by Combining Global Alignment Kernel and Penalized Logistic Regression Machine, Proc. International Conference on Spoken Language Processing.
  28. Kimiko Yamakawa, Tomoko Matsui, Shuichi Itahashi (2008). MDS-Based Visualization Method for Multiple Speech Corpora, Proc. International Conference on Spoken Language Processing.
  29. M. Yamada and T. Matsui, "A fast sequence kernel for sequential data classification," Proc. Asian Workshop on Speech Science and Technology, 2008.
  30. K. Yamakawa, T. Matsui and S. Itahashi, "Visualization of various speech corpora by multidimensional scaling," Proc. Oriental COCOSDA, 2007.
  31. H. D. Le, S. Satoh, and T. Matsui, "NII-ISM, Japan at TRECVID 2007: high level feature extraction," Proc. TRECVID Workshop, Washington, 2007.
  32. H. Okamoto, M. Kojima, T. Matsui, H. Kawanami, H. Saruwatari, K. Shikano, "Study on speaker verification with non-audible murmur segments," Proc. Interspeech, pp. 2017-2020, 2007.
  33. M. Cuturi, J. –P. Vert, O. Birkenes, and T. Matsui, "A kernel for time series based on global alignments," Proc. ICASSP, Hawaii, 2007.
  34. O. Birkenes, T. Matsui, K. Tanabe, and T. A. Myrvoll, "N-Best Rescoring For Speech Recognition Using Penalized Logistic Regression Machines with Garbage Class," Proc. ICASSP, Hawaii, 2007.
  35. M. Kojima, T. Matsui, H. Kawanami, H. Saruwatari, and K. Shikano, "Study on nonaudible murmur speaker verification using multiple session data," Proc. ASA/ASJ Joint Meeting, Hawaii, 2006.
  36. M. Naito, K. Matsumoto, M. Shishibori, K. Kita, M. Cuturi, T. Matsui, S. Sato, K. Hoashi, F. Sugaya, and Y. Nakajima, "Shot Boundary Detection and High-Level Feature Extraction Experiments for TRECVID 2006," Proc. TRECVID Workshp, Washington, 2006.
  37. M. Kojima, T. Matsui, H. Kawanami, H. Saruwatari, and K. Shikano, "Speaker Verification with Non-Audible Murmur Segments,"  Proc. Interspeech, Pittsburgh, 2006.
  38. T. A. Myrvoll and T. Matsui, "On a greedy learning algorithm for dPLRM with applications to phonetic feature detection," Proc. Interspeech, Pittsburgh, 2006.
  39. T. A. Myrvoll and T. Matsui, "On a Greedy Learning Algorithm for dPLRM with Applications to Phonetic Feature Detection," Proc. Norsig, 2006.
  40. O. Birkenes, T. Matsui, K. Tanabe and T. A. Myrvoll, "Continuous Speech Recognition with Penalized Logistic Regression Machines," Proc. Norsig, 2006.
  41. O. Birkenes, T. Matsui and K. Tanabe, "Isolated-Word Recognition with Penalized Logistic Regression Machines," Proc. ICASSP, 2006.
  42. T. Matsui and K. Tanabe, "dPLRM-Based Speaker Identification with Log Power Spectrum," Proc. Interspeech, pp. 2017-2020, 2005.
  43. A. Doucet, S. Senecal and T. Matsui, "Space Alternating Data Augmentation: Application to Finite Mixture of Gaussians and Speaker Recognition," Proc. ICASSP, pp. IV-713-716, 2005.
  44. T. Matsui and K. Tanabe, "dPLRM: Application to Speaker Identification," Proc. International Symposium on The Art of Statistical Metaware, pp. 171-178, 2005.
  45. T. Matsui and K. Tanabe, "Speaker Recognition without Feature Extraction Process," Proc. Workshop on Statistical Modeling Approach for Speech Recognition, pp. 79-84, 2004.
  46. T. Matsui and K. Tanabe, "Probabilistic Speaker Identification with dual Penalized Logistic Regression Machine," Proc. ICSLP, pp. III-1797-1800, 2004.
  47. T. Matsui and K. Tanabe, "Speaker identification with dual penalized logistic regression machine," Proc. Odyssey, pp. 363-368, 2004.
  48. I. R. Lane, T. Kawahara, T. Matsui, and S. Nakamura, "Out-of-domain detection based on confidence measures from multiple topic classification," Proc. ICASSP, pp. I-757-760, 2004.
  49. I. R. Lane, T. Kawahara, T. Matsui and S. Nakamura, "Hierarchical topic classification for dialog speech recognition," Proc. Eurospeech, pp. I-429-432, 2003.
  50. T. Jitsuhiro, T. Matsui and S. Nakamura, "Automatic generation of non-uniform context-dependent HMM topologies based on the MDL criterion," Proc. Eurospeech, pp. IV-2721-2724, 2003.
  51. T. Jitsuhiro, T. Matsui and S. Nakamura, "A successive state splitting algorithm based on the MDL criterion by data-driven and decision tree clustering," Proc. SSPR, 2003.
  52. I. R. Lane, T. Kawahara, T. Matsui and S. Nakamura, "Language model switching based on topic detection for dialog speech recognition," Proc. ICASSP, 2003.
  53. T. Matsui, F. K. Soong and B. -H. Juang, "Classifier design for verification of multi-class recognition decision," Proc. ICASSP, 2002.
  54. T. Matsui, F. K. Soong and B. -H. Juang, "Verification of multi-class recognition decision using classification approach," Proc. ASRU workshop, 2001.
  55. K. Okuda, T. Matsui and S. Nakamura, "Towards the creation of acoustic models for stressed Japanese speech," Proc. Eurospeech, pp. 1653-1656, 2001.
  56. K. Okuda, T. Matsui and S. Nakamura, "Acoustic modeling method for stressed Japanese speech," Proc. ICSP, 2001.
  57. K. Okuda, T. Matsui and S. Nakamura, "Acoustic model for robust speech recognition of stressed Japanese speech," Proc. HSC workshop, pp. 127-130, 2001.
  58. T. Matsui, M. Naito, Y. Sagisaka, K. Okuda and S. Nakamura, "Analysis of acoustic models trained on a large-scale Japanese speech database," Proc. ICSLP, pp. II-503-507, 2000.
  59. T. Matsui, M. Naito, H. Singer, A. Nakamura and Y. Sagisaka, "Japanese spontaneous speech database with wide regional and age distribution," Proc. Eurospeech, pp. V-2251-2254, 1999.
  60. A. Nakamura and T. Matsui, "Acoustic modeling based on a generalized Laplacian distribution," Proc. Eurospeech, pp. III-1347-1350, 1999.
  61. T. Matsui and K. Aikawa, "Robust speaker verification insensitive to session-dependent utterance variation and handset-dependent distortion," Proc. ICSLP, pp. I-246-249, 1998.
  62. T. Matsui and K. Aikawa, "Robust model for speaker verification against session-dependent utterance variation," Proc. ICASSP, pp. I-117-120, 1998.
  63. T. Matsui, T. Matsuoka and S. Furui, "Smoothed N-best-based speaker adaptation for speech recognition," Proc. ICASSP, pp. II-1015-1018, 1997.
  64. S. Furui and T. Matsui, "Model-based unsupervised instantaneous speaker adaptation,"  J. Acoust. Soc. Amer., 100, 4 (pt. 2), 4pSC25, 1996.
  65. S. Furui and T. Matsui, "Relationships between individual and phonetic information in speech waves: Their application to automatic speech recognition," J. Acoust. Soc. Amer., 100, 4 (pt. 2), 1pSC9, 1996.
  66. T. Matsui and S. Furui, "N-best-based instantaneous speaker adaptation method for speech recognition," Proc. ICSLP, pp. II-973-976, 1996.
  67. T. Matsui, T. Nishitani and S. Furui, "Robust methods of updating model and a priori threshold in speaker verification," Proc. ICASSP, pp. I-97-100, 1996.
  68. T. Matsuoka, N. Uemoto, T. Matsui and S. Furui, "Elaborate acoustic modeling for Japanese connected digit recognition," Proc. IEEE Automatic Speech Recognition Workshop, Snowbird, pp. 169-170, 1995.
  69. T. Matsui and S. Furui, " A study of speaker adaptation based on minimum classification error training," Proc. Eurospeech, pp. I-81-84, 1995.
  70. T. Matsui, T. Kanno and S. Furui, "Speaker recognition using HMM composition in noisy environments," Proc. Eurospeech, pp. I-621-624, 1995.
  71. S. Furui and T. Matsui, "Phoneme-level voice individuality used in speaker recognition," Proc. ICSLP, pp. III-1463-1466, 1994.
  72. T. Matsui and S. Furui, " A similarity normalization method for speaker verification based on a posteriori probability," ESCA Tutorial and Research Workshop on Automatic Speaker Recognition Identification Verification, pp. 59-62, 1994.
  73. T. Matsui, S. Furui, " Speaker adaptation of tied-mixture-based phoneme models for text-prompted speaker recognition," Proc. ICASSP, pp. I-125-128, 1994.
  74. C. Griffin, T. Matsui and S. Furui, "Distance measures for text-independent speaker recognition based on MAR model," Proc. ICASSP, pp. I-309-312, 1994.
  75. T. Matsui and S. Furui, " Concatenated phoneme models for text-variable speaker recognition," Proc. ICASSP, pp. II-391-394, 1993.
  76. S. Furui and T. Matsui, "Free-text speaker recognition methods using phoneme class models," IEEE Workshop o Interactive Voice Technology for Telecommunication Applications, 1992.
  77. T. Matsui and S. Furui, "Speaker recognition using concatenated phoneme models," Proc. ICSLP, pp. I-603-606, 1992.
  78. T. Matsui and S. Furui, " Comparison of text-independent speaker recognition methods using VQ-distortion and discrete/continuous HMMs," Proc. ICASSP, pp. II-157-160, 1992.
  79. T. Matsui and S. Furui, "A text-independent speaker recognition method robust against utterance variations," Proc. ICASSP, pp. 377-380, 1991.
  80. T. Matsui and S. Furui, "Text-independent speaker recognition using vocal tract and pitch information," Proc. ICSLP, pp. 137-140, 1990.