The Reduction or computation in MLLR Framework using PCA or ICA for Speaker Adaptation
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김지운
(인하대학교 전자공학과 DSP Lab)
정재호 (인하대학교 전자공학과 DSP Lab) |
1 |
A maximum-likelihood approach to stochastic matching for robust speech recognition
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DOI ScienceOn |
2 |
Probabilistic principal component analysis
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3 |
Probabilistic PCS and ICA subspace mixture models for image segmentation
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4 |
Joint maximum a posteriori adaptation of transformation and HMM parameters
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DOI ScienceOn |
5 |
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6 |
A study on speaker adaptation of the parameters of continuous density hidden Markov models
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DOI ScienceOn |
7 |
Improved acoustic modelling for HMMs using linear transforms
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8 |
Online hierarchical transformation of hidden Markov models for speech recognition
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DOI ScienceOn |
9 |
On-line adaptaion of hidden Markov models using incremental estimation algorithms
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