CONTACT INFORMATION

Liming Shi

PhD, researcher

Affiliation: Communications and Information Engineering Department, Chongqing University of Posts and Communication (CQUPT)
Address: CQUPT, Chongwen Road No.2, NanAn District, Chongqing 400065, China
Email: shilm@cqupt.edu.cn
Tel：0086 15703022782
中文版

Journal publications

  •  L. Shi, T. Lee, L. Zhang, J. K. Nielsen, and M. G. Christensen, “Generation of personal sound zones with physical meaningful constraints and conjugate gradient method,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 823–837, 2021.
  • T. Lee, L. Shi, J. K. Nielsen, and M. G. Christensen, “Fast generation of sound zones using variable span trade-off filters in the dft-domain,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 363–378, 2021.
  • A. H. Poojam, M. S. Kavalekalam, L. Shi, J. P. Raykov, J. R. Jensen, M. A. Little and M. G. Chris- tensen, “Automatic quality control and enhancement for voice-based remote Parkinson’s disease detection ,” Speech Communication, vol. 127, pp. 1–16, 2021.
  • Z. Bai, L. Shi, J. R. Jensen, and M. G. Christensen, “Acoustic DOA estimation using space alternating sparse Bayesian learning,” EURASIP Journal on Audio, Speech, and Music Processing, vol. 1, pp. 1–19, 2021.
  • L. Shi, J. K. Nielsen, J. R. Jensen, M. A. Little, and M. G. Christensen, “Robust Bayesian pitch tracking based on the harmonic Model,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 11, pp. 1737–1751, 2019.
  • L. Shi and Y. Lin, “Convex combination of adaptive filters under the maximum correntropy criterion in impulsive interference,” IEEE Signal Processing Letters, vol. 21, no. 11, pp. 1385–1388, 2014.
  • L. Shi, Y. Lin, and X. Xie, “Combination of affine projection sign algorithms for robust adaptive filtering in non-gaussian impulsive interference,” Electronics Letters, vol. 50, no. 6, pp. 466–467, 2014.

Conference publications

  • L. Shi, G. Ping, X. Shen and M. G. Christensen, “Generation of Personal Sound Fields in Reverberant Environments Using Interframe Correlation,” in 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
  • J. Zhang, L. Shi, M. G. Christensen, W. Zhang, L. Zhang and J. Chen, “Robust Pressure Matching with ATF Perturbation Constraints for Sound Field Control,” in 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
  • Y. Xiang, L. Shi, J. L. Højvang, M. H. Rasmussen, and M. G. Christensen, “A Novel NMF-HMM Speech Enhancement Algorithm Based on Poisson Mixture Model,” in 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
  • Y. Xiang, L. Shi, J. L. Højvang, M. H. Rasmussen, and M. G. Christensen, “An NMF-HMM speech enhancement method based on kullback-leibler divergence,” in INTERSPEECH, 2020.
  • L. Shi, J. R. Jensen, J. K. Nielsen, and M. G. Christensen, “A fast reduced-rank sound zone control algorithm using the conjugate gradient method,” in 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
  • L.Shi, J.R.Jensen, J.K.Nielsen, and M.G.Christensen, “Multipitch estimation using block sparse Bayesian learning and intra-Block clustering,” in 2018 IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP), April 2018.
  • M.S. Kavalekalam, J.K.Nielsen, L.Shi, and M.G. Christensen, “Online parametric nmf for speech enhancement,” in European Signal Processing Conference (EUSIPCO), September 2018.
  • L.Shi, J.K.Nielsen, J.R.Jensen, M.A.Little, and M.G.Christensen,“A Kalman-based fundamental frequency estimation algorithm,” in 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2017), October 2017.
  • L. Shi, J. K. Nielsen, J. R. Jensen, and M. G. Christensen, “A variational EM method for pole-zero modeling of speech with mixed block sparse and gaussian excitation,” in European SignalProcessing Conference (EUSIPCO), September 2017.
  • L. Shi, J. R. Jensen, and M. G. Christensen, “Least 1-norm pole-zero modeling with sparse deconvolution for speech analysis,” in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 2017, pp. 731–735.