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Using Aggregation to Improve the Performance of Mixture Gaussian Acoustic Models.
Hierarchical Large-Margin Gaussian Mixture Models for Phonetic Classification.
Unsupervised Spoken Keyword Spotting via Segmental DTW on Gaussian Posteriorgrams.
This report proposes a novel approach for Gaussian Mixture Model (GMM) weights decomposition and adaptation. This modeling suggests a new low-dimensional utterance representation method, which uses ...
In this paper we present a hierarchical large-margin Gaussian mixture modeling framework and evaluate it on the task of phonetic classification. A two-stage hierarchical classifier is trained by alter...
—Recent studies show that Gaussian mixture model (GMM) weights carry less, yet complimentary, information to GMM means for language and dialect recognition. However, state-of-the-art language recog...
Multiple accents are often present in Mandarin speech, as most Chi-nese have learned Mandarin as a second language. We propose gen-erating reliable accent specific unit together with dynamic Gaussian ...

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