This GMM-HMM word matcher has been trained from a set of training data and the decoding of these speech data to learn from the phone recognition errors.
The trigram LM has been trained from a set of 54 million of words (after removing the OOV words) corresponding to the European Parliament Proceedings Parallel Corpus 1996 2011 [1996 2011
The DNN-based acoustic models were trained from a set of 47 parliamentary sessions that took place in the Basque parliament10, of which only the Spanish part was employed.
The two Markov models are trained from a set of known regulatory and neutral sites which makes ESPERR essentially a discriminatory method.
Phylogenetic trees were visualized using the Archaeopteryx & Forester Java application ([ 82]; http://www.phylosoft.org/archaeopteryx/). Hidden Markov Models (HMMs) for hrp-boxes were trained from a set of 38 confirmed hrp-boxes in the P. syringae pv tomato DC3000 genome [ 28, 56, 57, 60].
This kind of model is trained from a training set that is a collection of speeches in various noise environments, and is tested in arbitrary noise scenarios.
An essential feature of HMMSplicer is that the HMM used to determine where the splice occurs within the read is trained from a subset of the input read set by an unsupervised algorithm.
Three cough HMMs and one noncough HMM are trained from the training set.
The dictionary is usually learned from a set of training examples X={x 1,x 2,…,x t }, and it can be trained from the following formulation: begin{aligned} (mathbf{D}, Z) = underset{mathbf{D}, Z}{text{argmin}},{|X - mathbf{D}Z|^{2}_{2} + lambda|Z|_{1}} text{s.t.} |D_{i}|^{2}_{2} le 1, i = 1, 2, ldots, K end{aligned} (10).
It was trained on a set of disease SNPs from cancer and the OMIM disease archive.
