The Centre for Speech Technology Research, The university of Edinburgh

Publications by Liang Lu

[1] Liang Lu, Xingxing Zhang, KyungHyun Cho, and Steve Renals. A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition. In Proc. Interspeech, 2015. [ bib | .pdf | Abstract ]
[2] Liang Lu and Steve Renals. Feature-space speaker adaptation for probabilistic linear discriminant analysis acoustic models. In Proc. Interspeech, 2015. [ bib | .pdf | Abstract ]
[3] Liang Lu and Steve Renals. Multi-frame factorisation for long-span acoustic modelling. In Proc. ICASSP, 2015. [ bib | .pdf | Abstract ]
[4] Liang Lu, Arnab Ghoshal, and Steve Renals. Cross-lingual subspace Gaussian mixture model for low-resource speech recognition. IEEE Transactions on Audio, Speech and Language Processing, 22(1):17-27, 2014. [ bib | DOI | .pdf | Abstract ]
[5] Liang Lu and Steve Renals. Probabilistic linear discriminant analysis for acoustic modelling. IEEE Signal Processing Letters, 21(6):702-706, 2014. [ bib | DOI | .pdf | Abstract ]
[6] Liang Lu and Steve Renals. Probabilistic linear discriminant analysis with bottleneck features for speech recognition. In Proc. Interspeech, 2014. [ bib | .pdf | Abstract ]
[7] Liang Lu, KK Chin, Arnab Ghoshal, and Steve Renals. Joint uncertainty decoding for noise robust subspace Gaussian mixture models. IEEE Transactions on Audio, Speech and Language Processing, 21(9):1791-1804, 2013. [ bib | DOI | .pdf | Abstract ]
[8] Liang Lu, Arnab Ghoshal, and Steve Renals. Noise adaptive training for subspace Gaussian mixture models. In Proc. Interspeech, 2013. [ bib | .pdf | Abstract ]
[9] Liang Lu, Arnab Ghoshal, and Steve Renals. Acoustic data-driven pronunciation lexicon for large vocabulary speech recognition. In Proc. ASRU, 2013. [ bib | DOI | .pdf | Abstract ]
[10] Liang Lu. Subspace Gaussian Mixture Models for Automatic Speech Recognition. PhD thesis, University of Edinburgh, 2013. [ bib | .pdf | Abstract ]
[11] Chen-Yu Yang, G. Brown, Liang Lu, J. Yamagishi, and S. King. Noise-robust whispered speech recognition using a non-audible-murmur microphone with vts compensation. In Chinese Spoken Language Processing (ISCSLP), 2012 8th International Symposium on, pages 220-223, 2012. [ bib | DOI | Abstract ]
[12] L. Lu, A. Ghoshal, and S. Renals. Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition. In Proc. ICASSP, pages 4877-4880, 2012. [ bib | DOI | .pdf | Abstract ]
[13] L. Lu, A. Ghoshal, and S. Renals. Joint uncertainty decoding with unscented transform for noise robust subspace Gaussian mixture model. In Proc. Sapa-Scale workshop, 2012. [ bib | .pdf | Abstract ]
[14] L. Lu, KK Chin, A. Ghoshal, and S. Renals. Noise compensation for subspace Gaussian mixture models. In Proc. Interspeech, 2012. [ bib | .pdf | Abstract ]
[15] L. Lu, A. Ghoshal, and S. Renals. Regularized subspace gausian mixture models for speech recognition. IEEE Signal Processing Letters, 18(7):419-422, 2011. [ bib | .pdf | Abstract ]
[16] L. Lu, A. Ghoshal, and S. Renals. Regularized subspace Gausian mixture models for cross-lingual speech recognition. In Proc. ASRU, 2011. [ bib | .pdf | Abstract ]