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- W2277147189 abstract "The synthetic voice produced from an HMM-based system is often reported as sounding mued when it is compared to natural speech. There are several reasons for this eect: some precise and ne characteristics of the natural speech are removed, minimized or hidden in the modeling phase of the HMM system; the resulting speech-parameter trajectories become oversmoothed versions of the speech waveforms. In order to obtain more natural synthetic voices, dierent training con- ditions must be tried in the construction of the HMMs. One of the most important issues related to the obtained synthetic voice is that of quality assessment. There are several ways to address this, from sub- jective to objective approaches, applied to dierent parameters. This paper presents a comparative analysis of certain acoustic features derived from synthesized speech which has been obtained using dierent training congurations. Pitch, jitter and shimmer were extracted from the syn- thesized versions of three training sets of vowels of a Mexican Spanish speech database: the normal training set and sets with alterations in the context and fundamental frequency F0. The results show that these objective features can be part of an adequate quality assessment of synthetic speech." @default.
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- W2277147189 date "2014-12-31" @default.
- W2277147189 modified "2023-09-25" @default.
- W2277147189 title "Acoustic Vowel Analysis in a Mexican Spanish HMM-based Speech Synthesis" @default.
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- W2277147189 doi "https://doi.org/10.13053/rcs-86-1-4" @default.
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