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Modeling Sound Changes in Mandarin Spontaneous Speech Using Deleted In-terpolation of Mixture Component Weights
Sound Changes Deleted Int erpolation Hand-labeled
2013/6/27
The high error rate of recognition accuracy in spontaneous speech is due in part to the poor modeling of pronun-ciations variations. An analysis of the acousticdata reveals that the variati ons includ...
Modeling High-level Information by Using Gaussian Mixture Correlation for GMM-UBM Based Speaker Recognition
Modeling High-level Information Gaussian Mixture Correlation GMM-UBM Based Speaker Recognition
2013/6/28
The Gaussian mixture model-universal background model (GMM-UBM) has been dominant in text-independent speaker recognition tasks. However the conventional GMM-UBM method assumes that each Gaussian mixt...
IMPROVED KATZ SMOOTHING FOR LANGUAGE MODELING IN SPEECH RECOGNITON
IMPROVED KATZ SMOOTHING LANGUAGE MODELING SPEECH RECOGNITON
2013/6/27
In this paper, a new method is proposed to improve the canonical Katz back-off smoothing technique in language modeling. The process of Katz smoothing is detailedly analyzed and the ...
A COMPRESSION METHOD USED IN LANGUAGE MODELING FOR HANDHELD DEVICES
COMPRESSION METHOD LANGUAGE MODELING HANDHELD DEVICES
2013/6/27
In this paper, a new n-gram language model compression method is proposed for applications in handheld devices, such as mobiles,PDAs, and handheld PCs. Compared with the traditional methods, t...