Sentence examples for target speaker from inspiring English sources

The neutral speech samples of 300 utterances from each target speaker are collected and used to train the neutral speech model set of that target speaker.

The speaker with the maximum likelihood is determined as the target speaker.

where c y is a bias vector for the target speaker.

For a target speaker, 300 neutral utterances are used to adapt the average-voice emotional model.

For human beings, it is easy to focus attention on a target speaker.

First, statistical synthesis models are generated for a target speaker using a speaker-dependent training algorithm.

The target speaker (operator) walks in front of the Head-and-Torso Simulator (HATS) while speaking.

(a) CRBMs for a source speaker (below) and a target speaker.

Therefore, the synthesized speech, even with emotions, still conveys the identity of the target speaker.

μ (y) and σ (y) are the mean and standard deviation of the target speaker data.

In the first setup, the target speaker is in front of the hearing aid user.