GMM造句

Research on Voice Conversion Based on GMM

Speaker Identification Model Based on GMM-SVM

The Research of Current Sensing Based on GMM and FBG;

GMM Estimation in Dynamic Panel Data Model with Measurement Error;

Voice Conversion with the Combination of HMM and GMM

Research on GMM Optimization with Clustering in Speaker Identification;

EMOTION CLASSIFICATION AND RECOGNITION OF SPEECH Using GMM-BASED METHOD

In this article, three estimation methods, GMM, MCMC and EMM are studied. GMM is one of the earliest methods used in SV model and its character is simple;

Analysis of Panel Data Modelof Urban Residents Consumer Spending by GMM;

GMM Distance Test and Its Relationships With LR, LM, Wald Tests in Linear Model;

GMM Based Intelligent Detection of the Vocal Segment in Popular Music

Generalized method of moments (GMM); Mixed regressive-spatial autoregressive (MRSAR); Over-identifying.

The Magnetic Circuit Design and Dynamic Characteristic of FBG-GMM Based on Current Transformer;

GMM Based Connected Digits Speech Recognizer and the State of the Art of Language Modeling for Large Vocabulary Speech Recognizer;

But when the mixture of GMM is too much, identifying probability is not further exalting and identifying time increases much.

Sep. 22 (GMM) Fernando Alonso has refused to rule out re-joining the McLaren team in the future.

Experimental results show that using SVM-GMM model can improve the open-set speaker recognition rate effectively.

GMM is surrounded by the drive coil in the closed area of GMA, so it is difficult to realize temperature control.

Personal Data held by GMM will be kept confidential. We do not provide or sell any of this information to third parties.

In user-customized speaker verification system, we focused on building whole utterance model for every speaker and DTW, HMM and GMM modeling methods were adopted.

A System GMM Estimation on the Employment Effect of China's Foreign Trade--An Empirical Study Based on China's Provincial Dynamic Panel Data

但GMM混合数选取太高时，识别率没有进一步的提高，识别时间却增加很多。

实验结果表明，该方法能改善基于GMM的与文本无关说话人识别系统的识别率。

在说话人辨认实验中，较之传统的GMM方法，基于EGMM的系统的正识率提高了近3%，并且模型具有更小的平均尺寸。