Sentence examples for frame label from inspiring English sources

In [12], Capozzi et al. propose the Frame Label Scheduler (FLS), which is composed of two levels.

The figures show the detection performance obtained using the GCF peak of a single frame (label "Single") or of two consecutive frames (label "Double").

Although there is no need for framing among introns, for convenience, we associate a fixed frame label with the intron as a tracking device in order to ensure that the frame of the following exon transition is constrained appropriately.

The LLR distance is nonnegative when 1-best GMM is used in frame labeling.

For both LLR and KL distances, the accuracy performance peaked when five GMMs were used for frame labeling.

CD state labels for each frame in the alignment are then converted to speech and non-speech frame labels by mapping them to speech and silence classes.

The results confirmed the advantage of using multiple GMMs for frame labeling over using single GMM, as the former induced smaller quantization errors than the latter.

We also used twofold cross-validation on the test set to automatically select the number of GMMs for frame labeling, and the case of 5GMM was selected in each validation set.

Table 4 Computational overhead (percent) per frame using all templates, template selection, and template compression for TIMIT phone recognition   All templates Template selection Template compression Test frame labeling overhead 40.0 40.0 22.4 Rescoring overhead 22.0 4.4 4.4 Overall computational overhead 62.0 44.4 26.8.

In comparison with the TIMIT phone recognition task, even though there were more GMMs to be used for test frame labeling and more templates in template clusters, the computation overhead did not increase much, especially for template selection and template compression.

Since the KL distances between the GMMs were pre-calculated and the likelihood scores used in LLR distance were obtained in the test frame labeling, the time for rescoring was mainly consumed on determining the warping path in DTW, and hence for the LLR and KL distances, the rescoring times were similar (we therefore omit the local distance in Table 4).