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• SPEECH CODER USING PHASE EQUALIZATION AND VECTOR QUANTIZATION.

  Moriya, T. & Honda, M., 1986 Dec 1, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. p. 1701-1704 4 p.

  Research output: Contribution to journal › Conference article › peer-review
  18 Citations (Scopus)

• Speech coding based on a multi-layer neural network

  Morishima, S., Harashima, H. & Katayama, Y., 1990 Dec 1, In: Conference Record - International Conference on Communications. 2, p. 429-433 5 p.

  Research output: Contribution to journal › Conference article › peer-review
  4 Citations (Scopus)

• Speech coding using waveform matching based on LPC residual phase equalization

  Honda, M., 1990 Dec 1, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 1, p. 213-216 4 p.

  Research output: Contribution to journal › Conference article › peer-review
  9 Citations (Scopus)

• Speech Communication: Editorial

  Hirose, K., Hirst, D. & Sagisaka, Y., 2005 Jul, In: Speech Communication. 46, 3-4, p. 217-219 3 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Speech Communication: Editorial

  De Mori, R., Sagisaka, Y. & Alwan, A., 2003 May, In: Speech Communication. 40, 3, p. 259-260 2 p.

  Research output: Contribution to journal › Editorial › peer-review

• Speech compensation to time-scale modified auditory feedback

  Ogane, R. & Honda, M., 2011, p. 321-328. 8 p.

  Research output: Contribution to conference › Paper › peer-review

• Speech completion: On-demand completion assistance using filled pauses for speech input interfaces

  Goto, M., Itou, K. & Hayamizu, S., 2002, p. 1489-1492. 4 p.

  Research output: Contribution to conference › Paper › peer-review
  22 Citations (Scopus)

• Speech Completion: Introducing New Modality into Speech Input Interface

  Goto, M., Itou, K., Akiba, T. & Hayamizu, S., 2002 Jan, In: Computer Software. 19, 4, p. 254-265 12 p.

  Research output: Contribution to journal › Article › peer-review

• SPEECH CONVERSATION SYSTEM OF THE MUSICIAN ROBOT.

  Kobayashi, T., Komori, Y., Hashimoto, N., Iwata, K., Fukazawa, Y. & Shirai, K., 1985, p. 483-488. 6 p.

  Research output: Contribution to conference › Paper › peer-review
  4 Citations (Scopus)

• Speech database and acoustic-phonetic knowledge base for speech recognition

  Tanaka, K. & Hayamizu, S., 1993, In: Denshi Gijutsu Sogo Kenkyusho Iho/Bulletin of the Electrotechnical Laboratory. 57, 2, p. 48-62 15 p.

  Research output: Contribution to journal › Article › peer-review

• Speech dialogue management system for human interface employing visual anthropomorphous agent

  Hiramoto, Y., Dohi, H. & Ishizuka, M., 1994, Robot and Human Communication - Proceedings of the IEEE International Workshop. Piscataway, NJ, United States: IEEE, p. 277-282 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Citations (Scopus)

• Speech emotional features measured by power-law distribution based on electroglottography

  Chen, L., Mao, X., Xue, Y. & Ishizuka, M., 2012, BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing. p. 131-136 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Speech emotion recognition based on attention weight correction using word-level confidence measure

  Santoso, J., Yamada, T., Makino, S., Ishizuka, K. & Hiramura, T., 2021, 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021. International Speech Communication Association, p. 301-305 5 p. (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Speech Emotion Recognition Enhanced Traffic Efficiency Solution for Autonomous Vehicles in a 5G-Enabled Space-Air-Ground Integrated Intelligent Transportation System

  Tan, L., Yu, K., Lin, L., Cheng, X., Srivastava, G., Lin, J. C. W. & Wei, W., 2022 Mar 1, In: IEEE Transactions on Intelligent Transportation Systems. 23, 3, p. 2830-2842 13 p.

  Research output: Contribution to journal › Article › peer-review
  37 Citations (Scopus)

• Speech enhancement and recognition using multi-task learning of long short-term memory recurrent neural networks

  Chen, Z., Watanabe, S., Erdogan, H. & Hershey, J. R., 2015, In: Unknown Journal. 2015-January, p. 3274-3278 5 p.

  Research output: Contribution to journal › Article › peer-review
  96 Citations (Scopus)

• Speech Enhancement Based on Bayesian Low-Rank and Sparse Decomposition of Multichannel Magnitude Spectrograms

  Bando, Y., Itoyama, K., Konyo, M., Tadokoro, S., Nakadai, K., Yoshii, K., Kawahara, T. & Okuno, H. G., 2018 Feb 1, In: IEEE/ACM Transactions on Audio Speech and Language Processing. 26, 2, p. 215-230 16 p.

  Research output: Contribution to journal › Article › peer-review
  18 Citations (Scopus)

• Speech enhancement based on multiple directivity patterns using a microphone array

  Sekiya, T. & Kobayashi, T., 2004 Sep 28, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 1, p. I877-I880

  Research output: Contribution to journal › Conference article › peer-review
  1 Citation (Scopus)

• Speech enhancement based on the subspace method

  Asano, F., Hayamizu, S., Yamada, T. & Nakamura, S., 2000 Sep, In: IEEE Transactions on Speech and Audio Processing. 8, 5, p. 497-507 11 p.

  Research output: Contribution to journal › Article › peer-review
  99 Citations (Scopus)

• Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis

  Misawa, S., Takamune, N., Nakamura, T., Kitamura, D., Saruwatari, H., Une, M. & Makino, S., 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 578-584 7 p. (2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Speech enhancement using array signal processing based on the coherent-subspace method

  Asano, F. & Hayamizu, S., 1997, In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E80-A, 11, p. 2276-2285 10 p.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• Speech enhancement using a square microphone array in the presence of directional and diffuse noise

  Ogawa, T., Takada, S., Akagiri, K. & Kobayashi, T., 2010 May, In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E93-A, 5, p. 926-935 10 p.

  Research output: Contribution to journal › Article › peer-review
  4 Citations (Scopus)

• Speech enhancement using CSS-based array processing

  Asano, F. & Hayamizu, S., 1997, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2, p. 1191-1194 4 p.

  Research output: Contribution to journal › Conference article › peer-review
  2 Citations (Scopus)

• Speech enhancement using end-to-end speech recognition objectives

  Subramanian, A. S., Wang, X., Baskar, M. K., Watanabe, S., Taniguchi, T., Tran, D. & Fujita, Y., 2019 Oct, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2019. Institute of Electrical and Electronics Engineers Inc., p. 234-238 5 p. 8937250. (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  20 Citations (Scopus)

• Speech enhancement using non-negative spectrogram models with mel-generalized cepstral regularization

  Li, L., Kameoka, H., Toda, T. & Makino, S., 2017, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2017-August, p. 1998-2002 5 p.

  Research output: Contribution to journal › Conference article › peer-review
  1 Citation (Scopus)

• Speech Enhancement Using Self-Adaptation and Multi-Head Self-Attention

  Koizumi, Y., Yatabe, K., Delcroix, M., Masuyama, Y. & Takeuchi, D., 2020 May, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 181-185 5 p. 9053214. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  50 Citations (Scopus)

• Speech enhancement using square microphone array for mobile devices

  Takada, S., Ogawa, T., Akagiri, K. & Kobayashi, T., 2008 Sep 16, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. p. 313-316 4 p. 4517609. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  5 Citations (Scopus)

• Speech enhancement with ad-hoc microphone array using single source activity

  Sakanashi, R., Ono, N., Miyabe, S., Yamada, T. & Makino, S., 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013. 6694323. (2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  15 Citations (Scopus)

• Speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR

  Weninger, F., Erdogan, H., Watanabe, S., Vincent, E., Le Roux, J., Hershey, J. R. & Schuller, B., 2015, Latent Variable Analysis and Signal Separation - 12th International Conference, LVA/ICA 2015, Proceedings. Koldovský, Z., Vincent, E., Yeredor, A. & Tichavský, P. (eds.). Springer Verlag, p. 91-99 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9237).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  362 Citations (Scopus)

• SPEECH I/O SYSTEM REALIZING FLEXIBLE CONVERSATION FOR ROBOT - THE CONVERSATIONAL SYSTEM OF WABOT-2.

  Shirai, K., Kobayashi, T., Komori, Y., Hashimoto, N., Iwata, K., Fukazawa, Y. & Yazawa, J., 1985, In: Waseda Daigaku Rikogaku Kenkyusho Hokoku/Bulletin of Science and Engineering Research Laboratory, Waseda University. 112, p. 53-79 27 p.

  Research output: Contribution to journal › Article › peer-review

• Speech planning of an anthropomorphic talking robot for consonant sounds production

  Nishikawa, K., Imai, A., Ogawara, T., Takanobu, H., Mochida, T. & Takanishi, A., 2002 Jan 1, In: Proceedings - IEEE International Conference on Robotics and Automation. 2, p. 1830-1835 6 p.

  Research output: Contribution to journal › Conference article › peer-review
  12 Citations (Scopus)

• Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques

  Haeb-Umbach, R., Watanabe, S., Nakatani, T., Bacchiani, M., Hoffmeister, B., Seltzer, M. L., Zen, H. & Souden, M., 2019 Nov, In: IEEE Signal Processing Magazine. 36, 6, p. 111-124 14 p., 8887564.

  Research output: Contribution to journal › Review article › peer-review
  67 Citations (Scopus)

• Speech production by a mechanical model: Construction of a vocal tract and its control by neural network

  Higashimoto, T. & Sawada, H., 2002 Jan 1, In: Proceedings - IEEE International Conference on Robotics and Automation. 4, p. 3858-3863 6 p.

  Research output: Contribution to journal › Conference article › peer-review
  20 Citations (Scopus)

• Speech Production Model and its Application to Speech Synthesis System - Speech Synthesis by Mimicing Human Speech Production -

  Honda, M., 1998, In: NTT R and D. 47, 4, p. 399-404 6 p.

  Research output: Contribution to journal › Article › peer-review

• Speech production model based on articulatory movements

  Honda, M. & Kaburagi, T., 1995 Jan 1, In: NTT R and D. 44, 1, p. 87-92 6 p.

  Research output: Contribution to journal › Article › peer-review

• Speech production of an advanced talking robot based on human acoustic theory

  Nishikawa, K., Takanobu, H., Mochida, T., Honda, M. & Takanishi, A., 2004 Jul 5, In: Proceedings - IEEE International Conference on Robotics and Automation. 2004, 4, p. 3213-3219 7 p.

  Research output: Contribution to journal › Conference article › peer-review
  7 Citations (Scopus)

• Speech-Quality Assessment Methods for Speech-Coding Systems

  Kitawaki, N., Honda, M. & Itoh, K., 1984 Oct, In: IEEE Communications Magazine. 22, 10, p. 26-33 8 p.

  Research output: Contribution to journal › Article › peer-review
  43 Citations (Scopus)

• Speech quality assessment of CS-ACELP

  Hayashi, S., Kataoka, A., Moriya, T. & Kaneko, T., 1996 Jul 1, In: NTT Review. 8, 4, p. 36-41 6 p.

  Research output: Contribution to journal › Article › peer-review

• Speech rate development in Japanese-speaking children and proficiency in mora-timed rhythm

  Iwamoto, K., Kikuchi, H. & Mazuka, R., 2022 Aug, In: Journal of Experimental Child Psychology. 220, 105411.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Speech recognition based on acoustically derived segment units

  Fukada, T., Bacchiani, M., Paliwal, K. K. & Sagisaka, Y., 1996, p. 1077-1080. 4 p.

  Research output: Contribution to conference › Paper › peer-review
  8 Citations (Scopus)

• Speech recognition based on student's t-distribution derived from total Bayesian framework

  Watanabe, S. & Nakamura, A., 2006, In: IEICE Transactions on Information and Systems. E89-D, 3, p. 970-980 11 p.

  Research output: Contribution to journal › Article › peer-review
  4 Citations (Scopus)

• Speech recognition chip for monosyllables

  Nakamura, K., Zhu, Q., Maruoka, S., Horiyama, T., Kimura, S. & Watanabe, K., 2001, Proceedings of the ASP-DAC 2001: Asia and South Pacific Design Automation Conference 2001. Institute of Electrical and Electronics Engineers Inc., p. 396-399 4 p. 913339. (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC; vol. 2001-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Citations (Scopus)

• Speech recognition for a humanoid with motor noise utilizing missing feature theory

  Nishimura, Y., Ishizuka, M., Nakadai, K., Nakano, M. & Tsujino, H., 2006, Proceedings of the 2006 6th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS. p. 26-33 8 p. 4115576

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  14 Citations (Scopus)

• Speech recognition in living rooms: Integrated speech enhancement and recognition system based on spatial, spectral and temporal modeling of sounds

  Delcroix, M., Kinoshita, K., Nakatani, T., Araki, S., Ogawa, A., Hori, T., Watanabe, S., Fujimoto, M., Yoshioka, T., Oba, T., Kubo, Y., Souden, M., Hahm, S. J. & Nakamura, A., 2013 May 3, In: Computer Speech and Language. 27, 3, p. 851-873 23 p., 547.

  Research output: Contribution to journal › Article › peer-review
  19 Citations (Scopus)

• Speech recognition in nonstationary noise based on parallel HMMs and spectral subtraction

  Mine, R., Kobayashi, T. & Shirai, K., 1996 Dec, In: Systems and Computers in Japan. 27, 14, p. 37-44 8 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Speech recognition in the blind condition based on multiple directivity patterns using a microphone array

  Sekiya, T. & Kobayashi, T., 2005 Jan 1, 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing. Institute of Electrical and Electronics Engineers Inc., p. I373-I376 1415128. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. I).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Speech recognition of a named entity

  Tomita, T., Okimoto, Y., Yamamoto, H. & Sagisaka, Y., 2005, 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing. Institute of Electrical and Electronics Engineers Inc., p. I1057-I1060 1415299. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. I).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Speech recognition of double talk using SAFIA-based audio segregation

  Sekiya, T., Ogawa, T. & Kobayashi, T., 2003, EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology. International Speech Communication Association, p. 1285-1288 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Speech recognition of foreign out-of-vocabulary words using a hierarchical language model

  Yamamoto, H., Kikui, G., Nakamura, S. & Sagisaka, Y., 2006 Jan 1, INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP. International Speech Communication Association, p. 1870-1873 4 p. (INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP; vol. 4).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Speech recognition technology combined with three dimensional lip movement

  Komiya, K., Ishikawa, R. & Momose, K., 2001 Jan 1, In: Proceedings of SPIE - The International Society for Optical Engineering. 4298, p. 95-102 8 p.

  Research output: Contribution to journal › Conference article › peer-review

• Speech recognition using deep canonical correlation analysis in noisy environments

  Isobe, S., Tamura, S. & Hayamizu, S., 2021, ICPRAM 2021 - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods. De Marsico, M., di Baja, G. S. & Fred, A. (eds.). SciTePress, p. 63-70 8 p. (ICPRAM 2021 - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)