Sentence examples for soft mask for from inspiring English sources

In detail, repeats were first masked (soft mask for low-complexity repeats) with RepeatMasker (www.repeatmasker.org) and RepeatRunner66.

c The soft mask for separation.

Then, we obtain the soft mask for speech separation from the Probability Mask.

Note that the soft mask for speaker b is p ( x a c ≤ x b c | y ) = 1 − p ( x a c > x b c | y ).

Fig. 12 A separation example for room D, including the spectrogram of the mixture signals, original target source signals, separated target source signals, and soft mask for separation.

The main target of the current system is to produce a soft mask for single channel speech separation in the modulation spectrogram domain.

By using the trained networks, the probability that each T-F unit belongs to different sources (target and interferers) can be estimated based on the localization cues which is further used to generate the soft mask for source separation.

The Fig. 12 shows a separation example for room D, including the spectrogram of the mixture signals (Fig. 13 a), original target source signals (Fig. 13 b), separated target source signals (Fig. 13 d), and the soft mask for separation (Fig. 13 c), with the deep networks trained using the full training set, for the determined case (the interferer 1 was located at +15°).

Blastz [ 10] has been widely used for aligning genome sequences including whole genome alignments and allows "soft masking" of the sequences.

For obtaining such an approximation, mask estimation based on ICA results has been proposed and shown to be successful, both for binary and soft masks, see, for example, [17, 18, 20].

This is probably due to the inability of PatternHunter to utilise "soft masking" of the repeats.