Xugang Lu (卢绪刚)

現在は日本情報通信研究機構で音声技術関連の研究仕事に従事

研究興味: 音声技術関連の研究、特に音声認識、機械学習に関する.

連絡: xugang dot lu at nict　dot go dot jp

2017~ , 同志社大学 (Doshisha University), 客員教授.

2009~ , 国立研究開発法人 情報通信研究機構, 専攻研究員/主任研究員.

2008-2009 ATR 音声コミュニケーション研究所, 主任研究員.

2003-2008 北陸先端科学技術大学院大学, 助教 (assistant professor).

2001-2002 McMaster University, Canada, Postdoc fellow.

1999-2001 Nanyang Technological University, Singapore, Research fellow.

1999 中国科学院自動化研究所, 知能科学専攻修了,博士(工学).

1990-1996 哈爾濱工業大学, 電気工学と計算機科学専攻修了, 学士, 修士.

中国科学院, 院長優秀賞表彰, 1999.

国際ワークショップIWSLT12における英語音声認識、優勝, 2012.

国際ワークショップIWSLT13における英語音声認識、優勝, 2013.

国際ワークショップIWSLT14における英語音声認識、優勝, 2014.

日本情報通信研究機構, 成績優秀表彰, 2015.

INTERSPEECH 2020で, short duration speaker verification challenge、準優勝, 2020.

研究代表, 研究期間 (年度) 2019 – 2021, 研究種目.基盤研究 (C): Construction of a computational model to deal with the cocktail-party problem for intelligent speech interface.

研究代表, 研究期間 (年度) 2010 – 2011, 研究種目.若手研究 (B): Hilbert再生核空間の正規法による頑健音声処理.

研究分担, 研究期間 (年度) 2007 – 2009, 総務省戦略的情報通信研究開発推進制度（SCOPE）, ＩＣＴイノベーション創出型研究開発,音声中の非言語情報の生成・知覚の特性解析と多言語間コミュニケーションへの応用.

研究代表, 研究期間 (年度) 2006 – 2007, 研究種目.若手研究 (B): 発話状態と音声空間の固有幾何学的関係の研究.

研究分担, 研究期間 (年度) 2005 – 2007, 研究種目.基盤研究 (B): 発話運動シミュレータを用いた発話障害予測および発話訓練支援システムの研究.

研究分担, 研究期間 (年度) 2004 – 2006, 研究種目.基盤研究 (B): 音声コミュニケーションにおける知覚と生成の相互作用に関する研究.

T. Hsieh, H. Wang, X. Lu, Y. Tsao, "WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement," IEEE Signal Processing Letters, 2020.

C. Yu, R. Zezario, S. Wang, J. Sherman, Y. Hsieh, X. Lu, H. Wang, Y. Tsao, "Improving the Intelligibility of Speech for Simulated Electric and Acoustic Stimulation Using Fully Convolutional Neural Networks," IEEE Trans. on Neural Systems & Rehabilitation Engineering, 2020.

C. Yu, R. Zezario, S. Wang, J. Sherman, Y. Hsieh, X. Lu, H. Wang, Y. Tsao, "Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders," IEEE Transactions on Audio, Speech and Language Processing, vol.28, pp. 2756-2769, 2020.

P. Shen, X. Lu, S. Li, H. Kawai, "Knowledge Distillation-based Representation Learning for Short-Utterance Spoken Language Identification," IEEE Trans. Audio, Speech, Language Process, vol. 28, pp.2674-2683, 2020.

S. Fu, T. Wang, Y. Tsao, X. Lu, H. Kawai, "End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks," IEEE Trans. on Audio, Speech, and Language Processing, 26(9): 1570-1584, 2018.

Y. Lai, Y. Tsao, X. Lu, F. Chen, Y. Su, K. Chen, Y. Chen, L. Chen, L. Li, and C. Lee, "Deep Learning based Noise Reduction Approach to Improve Speech Intelligibility for Cochlear Implant Recipients," Ear and hearing, 39(4):795-809, 2018.

N. Kanda, X. Lu, H. Kawai, "Maximum A Posteriori based Decoding for End-to-End Acoustic Models," IEEE Trans. on Audio, Speech, and Language Processing, vol.25, no. 5, pp.1023-1034, 2017.

X. Lu, P. Shen, Y. Tsao, H. Kawai, "Regularization of neural network model with distance metric learning for i-vector based spoken language identification," Computer Speech & Language, vol.44, pp. 48-60, 2017.

Y. Lai, F. Chen, S. Wang, X. Lu, Y. Tsao, C. Lee, "A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implantation," IEEE Trans. on Biomedical Engineering, vol. 64, no. 7, pp. 1568-1578, 2017.

P. Shen, X. Lu, X. Hu, N. Kanda, M. Saiko, C. Hori, H. Kawai, "Combination of multiple acoustic models with unsupervised adaptation for lecture speech transcription," Elsevier, Speech Communication, vol.82, pp. 1-13, Sep, 2016.

S. Wang, A. Chern, Y. Tsao, J. Hung, X. Lu, Y. Lai, B. Su, "Wavelet speech enhancement based on nonnegative matrix factorization," IEEE signal processing letter, vol. 23, no. 8, pp. 1101-1105, 2016.

Y. Tsao, P. Lin, T. Hu, X. Lu, "Ensemble environment modeling using affine transform group," Elsevier, Speech Communication, vol. 68, pp. 55-68, 2015.

Y. Tsao, X. Lu, P. Dixon, T. Hu, S. Matsuda, C. Hori, "Incorporating Local Information of the Acoustic Environments to MAP-based Feature Compensation and Acoustic Model Adaptation, " Elsevier, Computer Speech and Language, vol. 28, no. 3, pp. 709-726, 2014.

X. Lu, M. Unoki, S. Matsuda, C. Hori, H. Kashioka, "Controlling tradeoff between approximation accuracy and complexity of a smooth function in a reproducing kernel Hilbert space for noise reduction," IEEE Trans. on Signal Processing, vol. 61, no. 3, pp. 601-610, 2013.

X. Lu, M. Unoki, S. Nakamura, “Subband temporal modulation envelopes and their normalization for automatic speech recognition in reverberant environments,” Elsevier, Computer Speech and Language, vol. 25, no. 3, pp. 571-584, 2011.

X. Lu, J. Dang, “Vowel production manifold: intrinsic factor analysis of vowel articulation,” IEEE Trans. on Audio, Speech, and Language Processing,vol 18, no. 5, pp. 1053-1062, 2010.

X. Lu, S. Matsuda, M. Unoki, S. Nakamura, “Temporal modulation contrast normalization and edge-preserved smoothing for robust speech recognition,” Elsevier, Speech Communication, vol. 52, no. 1, pp. 1-11, 2010.

X. Lu, J. Dang, “An investigation of dependencies between frequency components and speaker characteristics for text independent speaker identification,” Elsevier, Speech Communication, vol. 50, no. 4, pp. 312–322, 2008.