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Furthermore, owing to a sufficient number of samples to quantify short-term stationarity, front-end signal processing (acoustic level) based on QKLMS-MDL seems to be a good methodology to improve the quantification of speech recognition because of its fast response.
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Möller et al. [18] applied the methodology for the quantification of the G.711.1 speech codec using one instrumental model and one speech database.
For a long time, automatic diagnostic tools for quantitative assessment of speech and voice are restricted to single aspects such as the quantification of nasalance in text passages, spectral characteristics, and intensity of the voice signal in sustained vowels [5].
End of speech.
It's freedom of speech.
Teacher of Speech and Jewish Studies.
(Full text of speech below).
One of them is freedom of speech.
"Devil?" "Figure of speech.
Freedom of speech.
Speech intelligibility was also calculated from physical measurements of speech and noise by using the articulation index method.
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