| Summary: | 碩士 === 淡江大學 === 資訊工程研究所 === 81 === The subject in this paper is to extract the parameter of
Chinese tone by two methods for recognizing the Chinese tone
variation of continuous speech. The pitch pattern of Chinese
isolated words are different from others; for continuous
speech, the pitch patterns are not all the same because of the
different locative in their article,even they have the same
tone.In proceeding this experiment,we segment in the speech
signal into Voiced/Unvoiced .The parameter of segmentation is
derived from the mean value of spectral envelope band of the
first formant, which linear log spectrum is obtained by
unbiased estimation.Then, the extraction of pitch is carried
out by the cepstrum method in voiced region,and smoothes it by
using the median smoothing with 3,5,7 points in cascade.It is
necessary to decide the beginning and the end point of the
pitch for the influence of adjoining syllable in continuous
speech. In this paper we use two method : (1) Slope method (2)
Discrimination function to extract the parameters of four-tone.
(1) Slope method: including 2-segment slopes(crude structure)
recognition. (2) Discrimination function method: using the
2-segment slopes analysis of slope method, which the front
slope as X-axis and the latter slope as Y-axis to obtain the
distrbution on the Cartesian coordinate and fine
discrimination function of four-tone. The speech data of this
paper is obtained from 25 sentences (including 196 words which
consist of 52 1-tone words,57 2-tone words,29 3-tone words,56
4-tone words and 2 chin-tone words) uttered by 6 men and 4
women speakers.Two groups' speakers are selected to set up the
function and test the function, each group consist of 3 men and
2 women. The experiment result identify that discrimination
method has the better recognition rate than the slope method.
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