For state, the state-dependent GMM (GMM ) is obtained by applying the transformation function to the state-independent GMM.
(1) to (3) with the dynamic system GMM (GMM-SYS).
These utterances were also used to train the GMM in the GMM-based method.
Recently, Wang et al. [12] proposed a GMM supervector kernel-support vector machine (GMM-SVM) classifier which was compared with the GMM classifier as a baseline algorithm.
There have also been approaches that do not require parallel data using GMM adaptation techniques [21] or eigen-voice GMM (EV-GMM) [22].
The deep GMM is a scalable deep generative model which stacks multiple GMM-layers on top of each other.
A combination of such method with GMM might provide a solution to the problem of the current version of GMM.
"We are in the process of trying to bundle NLP [Google's location service] with GMM [Google Maps] on Android, just like we do on other platforms...If successful, all GMM android partners will automatically get NLP, at least when GMM is used". p. 47).
The NTP's final report on those GMM studies (NTP 2005) noted that aspartame and acesulfame had been selected as "negative controls" for validation tests for the GMM models.
Therefore, MI based on GMM (GMM-MI), which combines the advantages of GMM and MI, is proposed in this paper.
We have employed the robust two-step system GMM.
