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The usage of energy spread to define phone duration provides an alternate scheme for computing phone duration, not tied strictly to automatic recognition-based phone boundary definitions.
HAMD Insomnia Middle of the Night shows consistent shortening of phone duration with increasing severity ratings.
Therefore, we want to add information about these phone duration deviations.
An alternative definition of phone duration was constructed using the concept of the spread of a signal's energy.
For this example, there is a subset of N significant phone duration correlations, indicated by k = k 1,..., kN.
Phone duration distributions were derived from manually verified phonemic transcriptions of 42 hours of read native speech from the CGN corpus [47].
Similar(44)
Then, we use the predicted syllable duration as an additional context for the phone-level model to predict phone durations.
Duration modelling for UV usually comes down to capturing the amount of deviation of the phoneme durations in the recognition result from normal phone durations [42].
With regard to the individual phone durations (vowels and consonants), higher individual correlation values than those found with the global speech rate measures reveal distinct phone-specific relationships.
For these reasons, we have chosen a form of predictor combination in which a likelihood ratio similar to (6) in statistical hypothesis testing is combined with phone durations.
We expect that phone durations might contain additional information, because the phone segmentation of an incorrectly decoded sequence of words will generally be characterized by deviations in phone durations and this is not directly coded in the acoustic likelihoods in LR.
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