Sentence examples for using the viterbi approximation from inspiring English sources

The inference of the final model was done through expectation maximisation (using the Viterbi approximation) on concatenated phonetic models representing utterances.

These probabilities are decoded using the Viterbi algorithm.

And then, the total bits are decoded by using the Viterbi soft decoding algorithm.

The stretch where they match is aligned with the audio using the Viterbi algorithm.

It can be determined in polynomial time using the Viterbi algorithm [21].

Each model produces a probability value by backtracking through model states using the Viterbi algorithm.

The AMs were trained on uncompressed speech using the Viterbi training algorithm from 72 h of speech and 555 speakers.

Each model has four states and produces a probability value by backtracking through model states using the Viterbi algorithm [17].

Next, we predicted constrained elements by using the Viterbi algorithm.

Once the CNF model is trained, we can calculate the optimal alignment using the Viterbi algorithm (Viterbi, 1967).

For PRED-TMBB, the predictions were performed using the Viterbi and Posterior Decoding algorithms.