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| − | Regarding the normal deviation (), a multiplicative transformation factor per VoQ parameter and [https://britishrestaurantawards.org/members/burn94game/activity/440416/ https://britishrestaurantawards.org/members/burn94game/activity/440416/] target expressive style, calculated as the ratio among the target ( ) as well as the original common deviation ( ), was used in order to vary the intensity in the existing parameter. In order to receive much more robust measurements, following the proposals of [3, 36], only vowels had been regarded as in these computations. This proposal for the transformation methodology will let us evaluate the usefulness of combining VoQ with each other with prosody together with the aim of enhancing the obtained expressive speech style identification price sustaining an acceptable speech high quality: VoQ = (VoQ - ) + . (2)slow 0 variations are removed to avoid interference because of prosodic information, plus the new 0 microprosody variations related to jitter are applied. New jitter variance is obtained by implies of the presented transformation methodology, plus the final pitch curve is computed adding the new jitter to the previously extracted slow 0 variations [34]. (ii) Shimmer: the modification of this parameter is directly applied to the time-domain waveform. The same method used for jitter modification has been applied to modify the shimmer. On the other hand, pitch synchronous peak-to-peak amplitude variations curve is employed rather of 0 contour information [34]. (iii) HNR: multiplicative transformation variables, calculated as the ratio between target and original HNR values, are applied within the HNM harmonic and stochastic elements to guarantee the desired energy ratio along with the total energy immediately after the transformation. For every single signal frame, the multiplicative transformation factor inside the harmonic component is definitely the same for all harmonic amplitudes, and, within the stochastic component, it affects the noise variance. An additional energy correction aspect for each components is ultimately applied to retain the original frame power in the transformed signal. (iv) HammI: only the maximum harmonic amplitude of each frequency band (the 0?000-Hz and also the 2000?000-Hz frequency bands) inside the HNM harmonic element is modified as outlined by the target parameter value (using a transformation element measured because the quotient in between the target and original HammI values). An added energy correction issue, precisely the same for every frequency band, maintains the original frame power in the course of the transformation. The HNM stochastic element is just not manipulated. (v) pe1000: utilizing the corresponding multiplicative transformation factor calculated as the relation involving target and original pe1000 values, the ratio between the HNM harmonic component energy on the [0, 1000] Hz and [1000, 5000] Hz frequency bands is modified. A multiplicative continuous aspect, precise forThe target VoQ values were obtained applying the presented transformation to the original VoQ parameters values frame-by-frame. This VoQ parameter modification working with the HNM, performed based on the function of [37], is described under. (i) Jitter: only the frequencies for the HNM harmonic component are modified. As soon as the 0 curve is obtained in the CBR prosody prediction module,Table three: Voice top quality chosen parameters throughout neutral-target transformations ("" when the parameter is selected and "--" otherwise). HAP SEN AGG SAD Jitter -- Shimmer -- HNR -- -- -- HammI peThe Scientific Globe Journal the frequencies, amplitudes, and phases of the HNM were modified to generate the needed 0 contour, power contour, and segmental duration.
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รุ่นแก้ไขเมื่อ 12:15, 26 กุมภาพันธ์ 2565
