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As a result, each pool speaker contributes 900 emotional utterances and 300 neutral utterances.
The neutral model set of a pool speaker is trained by 300 neutral utterances, and each emotional model set is also trained by 300 emotional utterances.
The speech samples of three emotions from each pool speaker, angry, happy, and sad, are collected, as well as the neutral (non-emotional) speech samples.
In our system, if the closest neutral model set and the closest emotional model set are from the same pool speaker, the system simply uses the second closest emotional model set.
The method of ABX test, where X is the synthesized emotional speech, A is a neutral non-synthetic speech from the target speaker, and B is a neutral non-synthetic speech from the pool speaker used in the interpolation (12), is used in this evaluation.
Similar(54)
We collect the speech of five pool speakers, including four male speakers and one female speaker.
The MBMDs between the neutral models of the pool speakers are summarized in Table 2.
It summarizes the distance (similarity) between pairs of neutral models of the pool speakers.
For each emotion, 1,500 emotional utterances from 5 pool speakers are used to train an average-voice emotional model.
The MBMDs between the neutral models of the pool speakers and neutral models of the target speakers are summarized in Table 3.
Let the number of pool speakers be L. Let ϕ1,…,ϕ L denote the neutral model sets, and ψ1,…,ψ L denote the emotional model sets.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com