AccentBox: Towards High-Fidelity Zero-Shot Accent Generation
<|reference_start|>AccentBox: Towards High-Fidelity Zero-Shot Accent Generation: While recent Zero-Shot Text-to-Speech (ZS-TTS) models have achieved high naturalness and speaker similarity, they fall short in accent fidelity and control. To address this issue, we propose zero-shot accent generation that unifies Foreign Accent Conversion (FAC), accented TTS, and ZS-TTS, with a novel two-stage pipeline. In the first stage, we achieve state-of-the-art (SOTA) on Accent Identification (AID) with 0.56 f1 score on unseen speakers. In the second stage, we condition ZS-TTS system on the pretrained speaker-agnostic accent embeddings extracted by the AID model. The proposed system achieves higher accent fidelity on inherent/cross accent generation, and enables unseen accent generation.<|reference_end|>
@article{zhong2024accentbox:,
    title={AccentBox: Towards High-Fidelity Zero-Shot Accent Generation},
    author={Jinzuomu Zhong, Korin Richmond, Zhiba Su, Siqi Sun},
    journal={arXiv preprint arXiv:2409.09098},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.09098},
    primaryClass={cs.SD cs.CL eess.AS}
}