Researchers at the Mohamed bin Zayed University developed an AI model that can create text-based conversations tied to specific objects or regions in an image.

Researchers at the Mohamed bin Zayed University developed an AI model that can create text-based conversations tied to specific objects or regions in an image.

Researchers at the Mohamed bin Zayed University developed an AI model that can create text-based conversations tied to specific objects or regions in an image.

Researchers at the Mohamed bin Zayed University developed an AI model that can create text-based conversations tied to specific objects or regions in an image.

Researchers at the Mohamed bin Zayed University developed an AI model that can create text-based conversations tied to specific objects or regions in an image.

Researchers at the Mohamed bin Zayed University developed an AI model that can create text-based conversations tied to specific objects or regions in an image.

A mad girl’s love song

Researchers at the Mohamed bin Zayed University developed an AI model that can create text-based conversations tied to specific objects or regions in an image.

It made me realize I won’t be a runner forever.

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For a fair comparison, we trained all model with the same dataset (LT460, train-clean-460 subsets of LibriTTS) without YourTTS.

HierVST has significantly improved a voice style transfer performance of the E2E model; therefore so we conduct ablation studies by building up on HierVST

For VC, we used two subjective metrics: naturalness mean opinion score (nMOS) and voice similarity MOS (sMOS) with a CI of 95%

We utilized LibriTTS dataset [90] to train the hierarchical speech synthesizer.

We found a simple trick to transfer the style even with a one second speech prompt by introducing style prompt replication (SPR).

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