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[A15] |
Y. Tachioka, S. Watanabe, J. Le Roux, and J. R. Hershey: Prior-based binary masking and discriminative methods for reverberant and noisy speech recognition using distant stereo microphones, Journal of Information Processing vol.25 no.6, pp.407-416, 2017. 6.
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[A14] |
Y. Tachioka and T. Narita: Template-based method for compensation of time difference of arrival in passive sound source localization under reverberant and noisy environments, Journal of Signal Processing vol.21 no.2, pp.73-79, 2017. 3.
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[A12] |
Y. Tachioka and J. Ishii: Long short-term memory recurrent-neural-network-based bandwidth extension for automatic speech recognition, Acoustical Science & Technology vol.37 no.6, pp.319-321, 2016. 11.
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[A10] |
Y. Tachioka, T. Narita, and S. Watanabe: Effectiveness of dereverberation, feature transformation, discriminative training methods, and system combination approach for various reverberant environments, EURASIP Journal on Advances in Signal Processing, 2015:52 doi:10.1186/s13634-015-0241-y, 2015. 6.
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[A09] |
Y. Tachioka, T. Narita, and J. Ishii: Semi-blind source separation using binary masking and indepedent vector analysis, IEEJ Transactions on Electrical and Electronic Engineering vol.10 no.1, pp.114-115, 2015. 1.
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[A08] |
Y. Tachioka, T. Narita, and J. Ishii: Estimation of speech recognition performance for clipped speech based on objective measures, Acoustical Science and Technology vol.35 no.6, pp.324-326, 2014. 11.
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[A05] |
Y. Tachioka, T. Hirano, and J. Ishii: Elimination of artifacts on aperture synthesis images using ultrasonic sensor's directivity and the ratio of intensity, IEEJ Transactions on Electrical and Electronic Engineering vol.8 no.4, pp., 2013. 7.
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[A04] |
Y. Tachioka, T. Hanazawa, and T. Iwasaki: Dereverberation method with reverberation time estimation using floored ratio of spectral subtraction, Acoustical Science & Technology vol.34 no.3, pp.212-215, 2013. 5.
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[A03] |
Y. Tachioka: Boundary condition for finite-difference time-domain method using digital filters and efficient design of filter coefficients using equivalent mechanical system, Acoustical Science & Technology vol.33 no.5, pp.329-331, 2012. 9.
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[A02] |
Y. Tachioka, T. Narita, and T. Iwasaki: Direction of arrival estimation by cross-power spectrum phase analysis using prior distributions and voice activity detection information, Acoustical Science & Technology vol.33 no.1, pp.68-71, 2012. 1.
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[A01] |
Y. Tachioka, Y. Yasuda, and T. Sakuma: Application of the constrained interpolation profile method to room acoustic problems--Examination of boundary modeling and spatial/time discretization, Acoustical Science & Technology vol.33 no.1, pp.21-32, 2012. 1.
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[B44] |
Y. Tachioka: Analysis of embedding space of speech synthesis system as high-dimension, low-sample-size data, IEEE 12th Global Conference on Consumer Electronics (GCCE 2023), Nara Royal Hotel, pp.-, 2023. 10. [査読有(/; %)]
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[B43] |
Y. Tachioka: Conditioning of variational autoencoder by user traits for item recommendation, Music recommender systems workshop @ 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, Suntec city, pp.-, 2023. 9. [査読有(7/15; 47%)]
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[B42] |
Y. Tachioka: Conditioning of autoencoder for various types of anomaly sound detection by using single model, The 11th International Conference on Computer and Communications Management (ICCCM) 2023, 名工大, 2023. 8. [査読有]
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[B41] |
Y. Tachioka: Impulse response classification based on persistent homology, TDA week 2023, Kyoto university, 2023. 8. [査読有]
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[B40] |
Y. Tachioka: Privacy preservation satisfying utility requirements based on multi-objective optimization, Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), Ise-Shima, pp.1-4, 2022. 11. [refereed(72/105; 68.6%)]
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[B39] |
Y. Tachioka: Impulse response classification focusing on geometrical structures, The 24th International Congress on Acoustics (ICA), Gyeongju, pp.1-7, 2022. 10.
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[B38] |
Y. Tachioka: Multi-condition training and system combination for automatic MOS prediction, IEEE 11th Global Conference on Consumer Electronics (GCCE 2022), Senri Life Science Center, pp.353-354, 2022. 10. [refereed(231(oral)+102(poster)/502; 68.1%)] IEEE GCCE 2022 Excellent Paper Award (Gold prize)
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[B37] |
Y. Tachioka and A. Keyaki: ditlab at the NTCIR-16 QA Lab-PoliInfo-3, NTCIR 16 Conference: Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies, Online, pp. 207-210, 2022. 6. [refereed]
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[B36] |
Y. Tachioka: Application of cross-data matrix methodology to embedded vector of deep-learning models with estimation of spiked model parameter, The 11th Conference of the IASC-ARS (The Asian Regional Section of the International Association for Statistical Computing), Doshisha Univ., 2022. 2. [refereed]
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[B35] |
Y. Tachioka: Integration of annotator-wise estimations for emotion recognition by using group softmax, The 13th Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference, Online, pp. 694-699, 2021. 12. [refereed(191/283; 67.5%)]
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[B34] |
K. Ozawa, S. Sumiyoshi, and Y. Tachioka: Snapshot multispectral image completion and unmixing with total variation regularization on abundance maps, The 13th Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference, Online, pp. 1367-1374, 2021. 12. [refereed(191/283; 67.5%)]
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[B33] |
Y. Tachioka: Exponentiated geometric-mean-balanced mask for underdetermined source separation, IEEE 10th Global Conference on Consumer Electronics (GCCE 2021), Mielparque Kyoto+Online, pp.344-345, 2021. 10. [refereed(257(oral)+93(poster)/525; 69.7%)]
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[B32] |
Y. Tachioka: Privacy preserving acoustic model training for speech recognition, Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference, Online, pp. 627-631, 2020. 12. [refereed(204/265; 71.6%)]
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[B31] |
Y. Tachioka: Multilingual acoustic model training based on phoneme set conversion, IEEE 9th Global Conference on Consumer Electronics (GCCE 2020), Kobe, pp.458-459, 2020. 10. [refereed(241(oral)+89(poster)/473; 71%)]
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[B30] |
T. Ushijima, Y. Tachioka, S. Uenohara, and K. Furuya: Sparse independent vector analysis based on Mel filter, IEEE 9th Global Conference on Consumer Electronics (GCCE 2020), Kobe, pp.826-827, 2020. 10. [refereed(241(oral)+89(poster)/473; 71%)]
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[B29] |
T. Izumi, Y. Tachioka, S. Uenohara, and K. Furuya: Activation driven synchronized joint diagonalization for underdetermined sound source separation, Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference, Gansu International Conference Center, pp. 1318-1322, 2019. 11. [refereed]
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[B28] |
Y. Tachioka: Hypothesis correction based on semi-character recurrent neural network for end-to-end speech recognition, Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference, Gansu International Conference Center, pp. 862-867, 2019. 11. [refereed(187/272; 68.8%)]
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[B27] |
Y. Tachioka: Knowledge distillation using soft and hard labels and annealing for acoustic model training, IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), Senri Life Science Center, pp.715-716, 2019. 10. [refereed(262(oral)+158(poster)/666; 65.3%)]
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[B26] |
Y. Tachioka: Permutation alignment based on MUSIC spectrum discrepancy for blind source separation, The 27th European Signal Processing Conference (EUSIPCO), PALEXCO, A Coruna, pp.1958-1962, 2019. 9. [refereed(500/820)]
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[B25] |
T. Izumi, Y. Tachioka, S. Uenohara, K. Furuya: Automatic determination of the optimum number of updates in synchronized joint diagonalization, The 11th International Workshop on Virtual Environment and Network-Oriented Applications (VENOA-2019), Sydney, 2019. 7. [refereed]
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[B24] |
Y. Tachioka: Multi-channel non-negative matrix factorization initialized with full-rank and rank-1 spatial correlation matrix for speech recognition, The 26th International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Ishigaki Resort ANA Continental Hotel, pp.246-251, 2018. 11. ISPACS2018 Best paper award [refereed(99/134; 72%)]
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[B23] |
Y. Tachioka: DNN-based voice activity detection using auxiliary speech models in noisy environments, The 43th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, pp.5529-5533, 2018. 4.[refereed(1406/2830; 49.7%)]
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[B22] |
T. Uramoto, Y. Tachioka, T. Narita, I. Miura, S. Uenohara, K. Furuya: Sequential initialization of multichannel nonnegative matrix factorization for sound source separation, IEEE 6th Global Conference on Consumer Electronics (GCCE 2017), WINC AICHI, DOI: 10.1109/GCCE.2017.8229207, 2017. 10.[refereed]
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[B21] |
Y. Tachioka, T. Narita, I. Miura, T. Uramoto, N. Monta, S. Uenohara, K. Furuya, S. Watanabe, and J. Le Roux: Coupled initialization of multi-channel non-negative matrix factorization based on spatial and spectral information, The 18th Annual Conference of the International Speech Communication Association (INTERSPEECH), Stockholm, pp.2461-2465, 2017. 8.[refereed(799/1582; 52%)]
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[B20] |
Y. Tachioka and T. Narita: Optimal automatic speech recognition system selection for noisy environments, Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference, Jeju, pp.1-8, 2016. 12.[refereed(242 accepted; 78%)]
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[B19] |
I. Miura, Y. Tachioka, T. Narita, J. Ishii, F. Yoshiyama, S. Uenohara, and K. Furuya: Multi-channel non-negative matrix factorization with binary mask initialization for automatic speech recognition, 5th Joint Meeting ASA/ASJ, Honolulu, 2016. 12.
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[B18] |
Y. Tachioka, S. Watanabe, and T. Hori: The MELCO/MERL system combination approach for the fourth CHiME challenge, The fourth CHiME challenge workshop, San Francisco, pp.1-3, 2016. 9.
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[B17] |
H. Kanagawa, Y. Tachioka, S. Watanabe, and Jun Ishii: Feature-space structural MAPLR with regression tree-based multiple transformation matrices for DNN, Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference, Shanghai, pp.86-92, 2015. 12.[refereed(266 accepted; 69%)]
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[B16] |
Y. Tachioka and S. Watanabe: Uncertainty training and decoding methods of deep neural networks based on stochastic representation of enhanced features, The 16th Annual Conference of the International Speech Communication Association (INTERSPEECH), Dresden, pp.3541-3545, 2015. 9.[refereed(746/1458; 51%)]
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[B15] |
Y. Tachioka and S. Watanabe: Discriminative method for recurrent neural network language models, The 40th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, pp.5386-5390, 2015. 4.[refereed(1207/2322; 52%)]
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[B14] |
Y. Tachioka, S. Watanabe, J. Le Roux, and J. R. Hershey: Sequential discriminative training for low-rank deep neural network, The 2nd IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, pp.735-739, 2014. 12.[refereed]
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[B13] |
Y. Tachioka, S. Watanabe, J. Le Roux, and J. R. Hershey: Sequential maximum mutual information linear discriminant analysis for speech recognition, The 15th Annual Conference of the International Speech Communication Association (INTERSPEECH), Singapore, pp.2415-2419, 2014. 9.[refereed(614/1173; 52%)]
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[B12] |
Y. Tachioka, T. Narita, S. Watanabe, and J. Le Roux: Ensamble integration of calibrated speaker localization and statistical speech detection, The 4th workshop on Hands-free Speech Communication and Microphone Array (HSCMA), Nancy, ID 1569901761 pp.1-5, 2014. 5.[refereed(41/55)]
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[B11] |
Y. Tachioka, T. Narita, S. Watanabe, and F. Weninger: Dual system combination approach for various reverberant environments, REVERB challenge, Florence, ID 1569886337 pp.1-8, 2014. 5.[refereed]
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[B10] |
F. Weninger, S. Watanabe, J. Le Roux, J. Hershey, Y. Tachioka J. T Geiger, B. W Schuller, and G. Rigoll: The MERL/MELCO/TUM system using deep recurrent neural network speech enhancement, REVERB challenge, Florence, ID 1569884459 pp.1-8, 2014. 5.[refereed]
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[B09] |
F. Weninger, S. Watanabe, Y. Tachioka, and B. Schuller: Deep recurrent de-noising auto-encoder and blind de-reverberation for reverberated speech recognition, The 39th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, pp.4656-4660, 2014. 5.[refereed(1709/3500)]
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[B08] |
Y. Tachioka and S. Watanabe: A generalized framework of discriminative training for system combination, Automatic Speech Recognition and Understanding Workshop (ASRU), Olomouc, pp.43-48, 2013. 12.[refereed]
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[B07] |
Y. Tachioka, T. Narita, T. Hanazawa, and J. Ishii: Voice activity detection based on density ratio estimation and system combination, Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference, Kaohsiung, pp.1-4, 2013. 11.[refereed]
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[B06] |
Y. Tachioka: Objective measurement of variants in classical literature, The International Conference on Culture and Computing (Culture and Computing 2013), Kyoto, pp.202-203, 2013. 9.[refereed]
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[B05] |
Y. Tachioka and S. Watanabe: Discriminative training of acoustic models for system combination, 14th Annual Conference of the International Speech Communication Association (INTERSPEECH), Lyon, pp.2355-2359, 2013. 8.[refereed]
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[B04] |
Y. Tachioka: Optimal design of sound reflectors by particle swarm optimization, The 21st International Congress on Acoustics (ICA), Montreal, pp.1-9, 2013. 6.
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[B03] |
Y. Tachioka, S. Watanabe, J. Le Roux, and J. R. Hershey: Discriminative methods for noise robust speech recognition: A CHiME Challenge Benchmark, The 2nd International Workshop on Machine Listening in Multisource Environments, Vancouver, pp.19-24, 2013. 6.[refereed]
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[B02] |
Y. Tachioka, S. Watanabe, and J. R. Hershey: Effectiveness of discriminative training and feature transformation for reverberated and noisy speech, The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, pp.6935-6939, 2013. 5.[refereed]
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[B01] |
T. Sakuma, Y. Kosaka and Y. Tachioka: Numerical determination of scattering coefficients of wall surfaces for geometrical room acoustic simulation, 4th Joint Meet. ASA/ASJ (Honolulu), J. Acoust. Soc. Am. Vol.120, pp.2998, 2006. [invited]
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