Sentence examples for utterance used from inspiring English sources

The utterance used for this example is the same as the one in Figure 2.

Figure 8 Effect of length of utterance used for parameter estimation on speech recognition.

The longer the length of utterance used, the better is the speech recognition performance.

The effect of the length of utterance used for parameter estimation was investigated, with the results shown in Figure 8.

Deterioration in speech recognition was not experienced with the length of the utterance used for parameter estimation greater than 1 s.

The utterance used for this example is the same as the one in Figures 2 and 3. Since the entire lattice is huge, only the part of the first word "DONG1" is drawn.

Additionally, this finding can be used by segmenting the most effective phonemes for speaker recognition from the utterance, using only the segmented part of the speech for speaker recognition.

In other words, we tried to determine the most appropriate position-specific NNs to be used by evaluating segments of the input utterance using the environment models (GMMs).

Specifically, for each speaker, we can estimate the most likely Gaussian index for each frame in a clean utterance using a MAP estimator.

For utterance-based batch processing, we decoded each utterance using six different feature sets (baseline, MMFBl, MMFBp, RMFB, RCGFB, and ITD-MFB), then combined the six different results using ROVER (Recognizer Output Voting Error Reduction).

Figure 9 Preference scores as a function of the number of utterances used for training.