Sentence examples for maximum likelihood linear from inspiring English sources

maximum likelihood linear regression.

Maximum likelihood linear regression (MLLR) [36] was employed for adaptation.

Feature-space maximum likelihood linear regression (fMLLR) [7] is a common choice for reducing interspeaker variability.

The technique employed in this article was the feature maximum likelihood linear regression (fMLLR).

Eigenphone-based speaker adaptation outperforms conventional maximum likelihood linear regression (MLLR) and eigenvoice methods when there is sufficient adaptation data.

Next, feature-based maximum likelihood linear regression (fMLLR) and speaker adaptive training (SAT) techniques are applied to improve model robustness.

Examples include the feature space maximum-likelihood linear regression (fMLLR, equivalent to global CMLLR), SPLICE feature compensation [17], etc.

A major back-end approach is the use of maximum-likelihood linear regression (MLLR) [2] that adapts the acoustic model parameters to the corrupted speech.

Thus, an acoustic model set trained by the TCC-300 Mandarin corpus is adapted by the collected dialogue speech data via maximum-likelihood linear regression (MLLR).

Specifically, the maximum likelihood and linear maximum signal-to-noise ratio (SNR) estimators have been developed in flat fading channels in [9].

The authors proposed to use maximum likelihood with linear prediction estimates to compute the parameter λ (lambda) of the Laplacian pdf, where λ is a parameter of the distribution.