Subspace modeling technique using monophones for speech recognition
References
586 citations
"Subspace modeling technique using m..." refers background in this paper
...The Maximum Likelihood training of the Subspace Model is same as any other adaptive training techniques like SAT, CAT etc....
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...CAT is a generalization of Speaker Adaptive Training (SAT) [1]....
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304 citations
"Subspace modeling technique using m..." refers background in this paper
...But SGMM uses an exponential transform on vj to compute the component priors....
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...SGMM goes one step further and tries to model the correlations among the parameters of GMMs of various tied-states....
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...The proposed Subspace Model and SGMM are both acoustic modeling techniques....
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...Though Subspace Model in a theoretical sense is closer to CAT, implementation wise it loans a few concepts from SGMM....
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...While SGMM exploits the correlations among GMM parameters of tied-states, CSM strives to transform a canonical model to a context-dependent state....
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293 citations
"Subspace modeling technique using m..." refers methods in this paper
...Both these methods have similarities to the Cluster Adaptive Training (CAT) [3], a speaker adaptation technique....
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34 citations
"Subspace modeling technique using m..." refers methods in this paper
...This ensures a mode of soft clustering than the hard clustering advocated by Speaker Clustering [5]....
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26 citations
"Subspace modeling technique using m..." refers background in this paper
...While SGMM exploits the correlations among GMM parameters of tied-states, CSM strives to transform a canonical model to a context-dependent state....
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...Subspace Gaussian Mixture Models (SGMM) [6] and Canonical State Models (CSM) [2] are two acoustic modeling techniques which exploits the relationship between the context dependent phone models (or triphones)....
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