“GMM”造句，怎麼用GMM造句

Voice Conversion with the Combination of HMM and GMM

EMOTION CLASSIFICATION AND RECOGNITION OF SpeECH USing GMM-BASED METHOD

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

GMM Based Intelligent Detection of the Vocal Segment in Popular Music

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

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

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

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

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

實驗結果表明，該方法能改善基於GMM的與文本無關説話人識別系統的識別率。

Research on Voice Conversion Based on GMM

The Research of Current Sensing Based on GMM and FBG;

Research on GMM Optimization with Clustering in Speaker Identification;

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

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

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

但GMM混合數選取太高時，識別率沒有進一步的提高，識別時間卻增加很多。

Speaker Identification Model Based on GMM-SVM

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;

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

在説話人辨認實驗中，較之傳統的GMM方法，基於EGMM的系統的正識率提高了近3%，並且模型具有更小的平均尺寸。

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

GMM Estimation in Dynamic Panel Data Model with Measurement Error;

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.