Sentence examples for sequence of speech from inspiring English sources

The lower perplexity value for language model indicates a greater ability to predict sequence of speech components.

In HMM-based speech recognition it is assumed that the observed sequence of speech feature vectors is generated by a hidden Markov model.

It is defined as a complete sentence, a sentence fragment, a clause with deliberate markers of closing, a conversational turn, or any sequence of speech which is detached from another by at least 2 s, temporally.

As a speech coefficient vector is computed from a single frame which is typically quite short (e.g., 25 ms), it is important to use a sequence of speech coefficient vectors as the input of the DNN.

In a sequence of speeches, the six Democrats all told Naral Pro-Choice America, an abortion rights organization, that a woman's right to terminate her pregnancy was in the greatest peril since the Roe v. Wade opinion because of the recent elections that left Republicans in control of Congress and the White House.

Attempts were made to overcome these limitations with the adoption of artificial neural networks (ANN) as an alternative paradigm for ASR, but ANN were unsuccessful in dealing with long time-sequences of speech signals.

Figure 3 displays the autocorrelation sequences for two examples of clean speech, noise, and noisy speech signals with the noises being babble and factory, extracted from the NATO RSG-10 corpus [34], as well as the sum of autocorrelation sequences of speech and noise.

For example, rare protein-coding mutations of the FOXP2 transcription factor cause severe problems with sequencing of speech sounds, while common genetic risk variants of small effect size in genes like CNTNAP2, ATP2C2 and CMIP are associated with typical forms of language impairment.

One might speculate that sequencing of motor action and sequencing of speech and thought may be of the same functional origin (cf., [ 29]).

Their very low scores on oromotor sequences and nonword repetition indicate difficulties in programming or remembering sequences of speech sounds, even when no meaning was involved.

The hypothesis that the left superior PCGv is involved in the integration of sequences of speech motor acts could be tested in future studies by contrasting activation in this region during sequential presentation of words and pronounceable nonwords.