[1]
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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.
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Abstract ]
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[2]
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Liang Lu and Steve Renals.
Feature-space speaker adaptation for probabilistic linear
discriminant analysis acoustic models.
In Proc. Interspeech, 2015.
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Abstract ]
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[3]
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Liang Lu and Steve Renals.
Multi-frame factorisation for long-span acoustic modelling.
In Proc. ICASSP, 2015.
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Abstract ]
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[4]
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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.
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DOI |
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Abstract ]
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[5]
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Liang Lu and Steve Renals.
Probabilistic linear discriminant analysis for acoustic modelling.
IEEE Signal Processing Letters, 21(6):702-706, 2014.
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DOI |
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Abstract ]
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[6]
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Liang Lu and Steve Renals.
Probabilistic linear discriminant analysis with bottleneck features
for speech recognition.
In Proc. Interspeech, 2014.
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.pdf |
Abstract ]
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[7]
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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.
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DOI |
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Abstract ]
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[8]
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Liang Lu, Arnab Ghoshal, and Steve Renals.
Noise adaptive training for subspace Gaussian mixture models.
In Proc. Interspeech, 2013.
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Abstract ]
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[9]
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Liang Lu, Arnab Ghoshal, and Steve Renals.
Acoustic data-driven pronunciation lexicon for large vocabulary
speech recognition.
In Proc. ASRU, 2013.
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DOI |
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Abstract ]
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[10]
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Liang Lu.
Subspace Gaussian Mixture Models for Automatic Speech
Recognition.
PhD thesis, University of Edinburgh, 2013.
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Abstract ]
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[11]
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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.
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DOI |
Abstract ]
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[12]
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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.
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DOI |
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Abstract ]
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[13]
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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.
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Abstract ]
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[14]
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L. Lu, KK Chin, A. Ghoshal, and S. Renals.
Noise compensation for subspace Gaussian mixture models.
In Proc. Interspeech, 2012.
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Abstract ]
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[15]
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L. Lu, A. Ghoshal, and S. Renals.
Regularized subspace gausian mixture models for speech recognition.
IEEE Signal Processing Letters, 18(7):419-422, 2011.
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Abstract ]
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[16]
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L. Lu, A. Ghoshal, and S. Renals.
Regularized subspace Gausian mixture models for cross-lingual
speech recognition.
In Proc. ASRU, 2011.
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.pdf |
Abstract ]
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