SWS has been used by Robert Remez, Rubin, David B . Pisoni, and other colleagues and researchers to study the time-varying characteristics of the speech signal.
42.
LPC analyzes the speech signal by estimating the formants, removing their effects from the speech signal, and estimating the intensity and frequency of the remaining buzz.
43.
LPC analyzes the speech signal by estimating the formants, removing their effects from the speech signal, and estimating the intensity and frequency of the remaining buzz.
44.
The processor attempts to provide maximum amplification in the direction of the desired speech signal source or rejection in the direction of the interfering signal source.
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Since, by definition, these entities are absent from the speech signal, it is of interest that language learners still can come to have information about them.
46.
The study of phonetics grew quickly in the late 19th century partly due to the invention of the phonograph, which allowed the speech signal to be recorded.
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The DTW algorithm processed the speech signal by dividing it into short frames, e . g . 10ms segments, and processing each frame as a single unit.
48.
Noise Cancellation Technologies Inc . tripled to 3 / 4 after the company said Intel Corp . licensed its software to remove background noise from speech signals.
49.
This means that in order to detect a fundamental frequency of 40 Hz, at least 50 milliseconds ( ms ) of the speech signal must be analyzed.
50.
To reduce the complexity for solving { \ boldsymbol \ alpha } using CS speech signal is observed using a measurement matrix { \ Phi } such that
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