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Author Title Type [ Year(Asc)]
Filters: Author is Lu, Liang  [Clear All Filters]
2016
L. Lu, Kong, L., Dyer, C., Smith, N. A., and Renals, S., Segmental Recurrent Neural Networks for End-to-end Speech Recognition, in Proc. INTERSPEECH, 2016.
L. Lu and Renals, S., “Small-footprint Deep Neural Networks with Highway Connections for Speech Recognition”, in Proc. INTERSPEECH, 2016.
L. Lu, Zhang, X., and Renais, S., “On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition”, in Proc. ICASSP, 2016.
2015
L. Lu and Renals, S., Feature-space Speaker Adaptation for Probabilistic Linear Discriminant Analysis Acoustic Models, in Proc. INTERSPEECH, 2015.
L. Lu and Renals, S., “Multi-frame factorisation for long-span acoustic modelling”, in Proc. ICASSP, 2015.
L. Lu, Zhang, X., Cho, K. H., and Renals, S., “A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition”, in Proc. INTERSPEECH, 2015.
2014
L. Lu, Ghoshal, A., and Renals, S., “Cross-lingual subspace Gaussian mixture model for low-resource speech recognition”, IEEE Transactions on Audio, Speech and Language Processing, 2014.
L. Lu and Renals, S., “Probabilistic Linear Discriminant Analysis for Acoustic Modelling”, IEEE Signal Processing Letters, vol. 21, pp. 702-706, 2014.
L. Lu and Renals, S., “Probabilistic linear discriminant analysis with bottleneck features for speech recognition”, in Proc. INTERSPEECH, 2014.
2013
L. Lu, Ghoshal, A., and Renals, S., “Acoustic Data-driven Pronunciation Lexicon for Large Vocabulary Speech Recognition”, in Proc. IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013.
L. Lu, Chin, K. K., Ghoshal, A., and Renals, S., “Joint Uncertainty Decoding for Noise Robust Subspace Gaussian Mixture Models”, IEEE Transactions on Audio, Speech and Language Processing, 2013.
L. Lu, Ghoshal, A., and Renals, S., “Noise adaptive training for subspace Gaussian mixture models”, in INTERSPEECH, 2013.
2012
L. Lu, Ghoshal, A., and Renals, S., “Joint Uncertainty Decoding with Unscented Transform for Noise Robust Subspace Gaussian Mixture Models”, in Proc. SAPA-SCALE Conference, Portland, OR, 2012.
L. Lu, Ghoshal, A., and Renals, S., “Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition”, in Proc. IEEE ICASSP, 2012, pp. 4877-4880.
L. Lu, Chin, K. K., Ghoshal, A., and Renals, S., “Noise Compensation for Subspace Gaussian Mixture Models”, in Proc. Interspeech, Portland, OR, 2012.
2011
L. Lu, Ghoshal, A., and Renals, S., “Regularized Subspace Gaussian Mixture Models for Cross-lingual Speech Recognition”, in Proc IEEE ASRU, 2011.
0
L. Lu, Kong, L., Dyer, C., Smith, N. A., and Renals, S., “Segmental Recurrent Neural Networks for End-to-end Speech Recognition”, in Proc. INTERSPEECH.
L. Lu, Zhang, X., and Renais, S., “On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition”, in Proc. ICASSP.