Sentences with phrase «phoneme states»

When the language model is combined with the beads - on - a-string model of phonemes, the result is a model of how the phoneme states may change in the course of a sentence, including silences that may or may not occur between words:

The arrows indicate the possible transitions among the two - phoneme states.

Probabilities also enter the picture because each phoneme state can correspond to many different possible spectra in a frame of the spectrogram, again depending on all the different ways that someone could produce the sound — tonal inflections, the stress on the syllable, the overall pitch and timbre of the voice and so on.

The Viterbi algorithm, however, only keeps the best sequence for each possible current phoneme state — in this case R - EH - D for D and W - AY - T for T.

Thus the model only cares that the current state is phoneme state AY - 1 in the word «white.»

The duration of each phoneme state will vary depending on the speaker and the manner of speech.

Not exact matches

(We are simplifying things by not dividing the phonemes into states, such as R - 1, R - 2, R - 3.)

Each phoneme is further divided into a sequence of states — the «beads» — which represent how the sound power spectrum changes over the duration of a phoneme.

Now it's — you know, let's see — identify orally upper case, identify orally lower case, identify if words rhyme when given a spoken prompt, state rhyming words in response to an oral prompt, recognize the concept of a syllable, count and state the number of syllables in a word, blend syllables together to form a word when given an oral prompt, segment words into syllables orally when given a prompt, read high - frequency words by sight, blend and rhyme single - syllable words, state the initial sounds in three phoneme words, state the median sounds in three phoneme words, state the final sound in three phoneme words.