Sentence examples for frames of the training from inspiring English sources

Since DNNs cannot align context-dependent states to time frames of the training data, an auxiliary GMM triphone system is trained with the ML criterion to provide alignments for the DNN training.

Before training the compact model, a state level segmentation is made using the Viterbi algorithm with the backend model, i.e., the segmentation specifies the alignment between the states and the frames of the training data.

Therefore, the history frames contribute differently and we calculate weights W t for n history frames of the training set {F t } to make their contributions more rational based on error of pixel-level classifier.

Since the silence frames in audio signals affect the value of TSCC, the pre-trained maximum and minimum values of the cepstral coefficients are searched only in the non-silence frames of the training data and are fixed in practical application.

James J. Dermody, president of the L.I.R.R., said the steel frames of the M-1 trains used by the commuter line are designed to withstand 600,000 pounds of pressure.

where is the number of frames in the training period.

where m is the number of superpixels in current test frame f and n is the number of frames in the training set {F t }.

where (hat {P}) is the "true" posterior distribution, P is the posterior distribution output by the DNN being trained, S is the number of HMM states modeled in the output layer, and N is the number of frames in the training set.

The learning rate, that is, the speed of the change of the weight vectors of the updated nodes, is defined as a decreasing function (with respect to the number of frames) during the training phase, while it remains constant (at a lower value) during the operation phase.

To reduce these differences, the frame-of-reference training [ 21] possibly needs improvement or extension.

Include detailed examples of scientific truth from the movie, speculation, and fiction.. Consider the time frame of the movie, training and experience of the characters, and the risks undertaken by the research team in the movie.