Speaker adaptation of neural network acoustic models using i-vectors
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George Saon | Hagen Soltau | Michael Picheny | David Nahamoo | M. Picheny | D. Nahamoo | H. Soltau | G. Saon
[1] Kaisheng Yao,et al. KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[2] Michiel Bacchiani,et al. Rapid adaptation for mobile speech applications , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[3] Lukás Burget,et al. Simplification and optimization of i-vector extraction , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[4] Tara N. Sainath,et al. Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization , 2012, INTERSPEECH.
[5] Hervé Bourlard,et al. MLP-based factor analysis for tandem speech recognition , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[6] Kaisheng Yao,et al. A Feature Space Transformation Method for Personalization using Generalized I-Vector Clustering , 2012, INTERSPEECH.
[7] Martin Karafi. iVector-Based Discriminative Adaptation for Automatic Speech Recognition , 2011 .
[8] Hui Jiang,et al. Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminative learning of speaker code , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[9] Douglas A. Reynolds,et al. Language Recognition via i-vectors and Dimensionality Reduction , 2011, INTERSPEECH.
[10] Dong Yu,et al. Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription , 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.
[11] Yongqiang Wang,et al. An investigation of deep neural networks for noise robust speech recognition , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[12] Andrew W. Senior,et al. Improving DNN speaker independence with I-vector inputs , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[13] Patrick Kenny,et al. Joint Factor Analysis of Speaker and Session Variability: Theory and Algorithms , 2006 .
[14] Ebru Arisoy,et al. Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[15] Kaisheng Yao,et al. Adaptation of context-dependent deep neural networks for automatic speech recognition , 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).
[16] Patrick Kenny,et al. Front-End Factor Analysis for Speaker Verification , 2011, IEEE Transactions on Audio, Speech, and Language Processing.