Sentence examples for target speakers from inspiring English sources

The number of target speakers is 260.

We train two DBNs for the source and target speakers.

As a result, parallel data from the source and target speakers is not required.

First, we construct the parallel dictionaries of the source and target speakers.

The above statistical VC needs a large parallel corpus between the source and target speakers.

The designed system obtains speaker-specific codebooks of line spectral frequencies (LSFs) for both source and target speakers.

For each test file, there is one trial for the target speaker and nine trials for the non-target speakers.

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.

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

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