During training, SAT generates a set of speaker independent (SI) Gaussian parameters, along with matched speaker dependent transforms for all the speakers in ...
ABSTRACT. In this paper, Speaker Adaptive Training(SAT) which reduces inter-speaker variability and Eigenspace-based Maximum Likeli-.
During training, SAT generates a set of speaker independent (SI) Gaussian parameters, along with matched speaker dependent transforms for all the speakers in ...
Evolutionary eigenvoice MLLR speaker adaptation - ScienceDirect
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This paper considers the problem of rapid and robust speaker adaptation in automatic speech recognition (ASR) systems. We propose an approach using ...
Deng, “Eigenspace-based MLLR with speaker adaptive training in large vocabulary conversational speech recognition,” in Proceedings of the IEEE International.
This paper applies the recently proposed Extended Maximum Likelihood Linear Transformation (EMLLT) model in a Speaker Adaptive Training (SAT) context on the ...
Missing: Eigenspace- | Show results with:Eigenspace-
SUMMARY. This study develops a fuzzy logic control mechanism in eigenspace-based MLLR speaker adaptation. Specifically, this mechanism.
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Eigenspace-based MLLR (EMLLR) adaptation has been shown effective for fast speaker adaptation. It applies the basic idea of eigenvoice adaptation, ...
Eigenspace-based MLLR with speaker adaptive training in large vocabulary conversational speech recognition pp. I-357-60 vol.1. Parameterization of the score ...
The approach uses a speaker-clustering procedure that models speaker variability by partitioning a large corpus of speakers in the eigenspace of their MLLR ...