Sentence examples for estimates of speech from inspiring English sources

It is also possible to obtain estimates of speech and noise correlation matrices.

The Bayesian speech enhancement framework proposed in this paper obtains estimates of speech and noise parameters based on all available models, requires no prior information on the context at hand, and automatically obtains results close to those obtained when using the appropriate codebook for a given context scenario as seen from experiments with various aspects of speech context.

The magnitude of improvement is inconsistent with the formation of initially independent auditory and visual estimates of speech content.

Instead, we suggest that primary estimates of speech content are determined by a process that takes direct input from visual and auditory processing.

If primary estimates of speech content are derived via a process that takes direct input from audition and vision, a loss of sensitivity to the independent audio and visual speech cues would ensue because these cues are never encoded in isolation.

We believe that previous research concerning AV facilitation of speech recognition [9], and an inability to ignore discordant visual cues when attending auditory speech [3], [21], are consistent with primary sensory estimates of speech content being based on both auditory and visual processing.

In the post-session ratings (Supplementary Table 2), the SRH correlated positively across subjects with estimates of speech-likeness (versus thought-likeness; r = 0.54, P = 0.04; Pearson's one-tailed test) and loudness (r = 0.52, P = 0.05) of the hallucinations, as well as with hallucination-related suffering (r = 0.59, P = 0.03).

The time-varying noise effect can be reduced by using an estimate of speech cross-correlation, that is, (8).

Since the Fujisaki model commands are anchored to the syllabic layer (see Section 2) and we did not require an exact local estimate of speech rate, but a broad classification of speech rate on the utterance level, the following investigation is performed with respect to the syllabic rate.

In this section, we develop a Bayesian framework to obtain estimates of the speech and noise LP parameters, m x and m w, using one or more CD codebooks and a CI speech codebook.

Hence, the weighted output is a combination of the MMSE estimates of the speech components of the two input signals.