Covariance Matrix Enhancement Approach to Train Robust Gaussian Mixture Models of Speech Data

Author:

Vaněk Jan,Machlica Lukáš,Psutka Josef V.,Psutka Josef

Publisher

Springer International Publishing

Reference12 articles.

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2. Diehl, F., Gales, M.J.F., Liu, X., Tomalin, M., Woodland, P.C.: Word Boundary Modelling and Full Covariance Gaussians for Arabic Speech-to-Text Systems. In: Proc. INTERSPEECH 2011, pp. 777–780 (2011)

3. Bell, P., King, S.: A Shrinkage Estimator for Speech Recognition with Full Covariance HMMs. In: Proc. Interspeech 2008, Brisbane, Australia (2008)

4. Bell, P.: Full Covariance Modelling for Speech Recognition. Ph.D. Thesis, The University of Edinburgh

5. Lee, Y., Lee, K.Y., Lee, J.: The Estimating Optimal Number of Gaussian Mixtures Based on Incremental k-means for Speaker Identification. International Journal of Information Technology 12(7), 13–21 (2006)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Anti-Models:;Text, Speech and Dialogue;2014

2. Estimation of Single-Gaussian and Gaussian Mixture Models for Pattern Recognition;Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;2013

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