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arXiv · 2409.11003

Single-stage TTS with Masked Audio Token Modeling and Semantic Knowledge Distillation

Gerard I. Gállego·Roy Fejgin·Chunghsin Yeh·Xiaoyu Liu·Gautam Bhattacharya
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Abstract

Audio token modeling has become a powerful framework for speech synthesis, with two-stage approaches employing semantic tokens remaining prevalent. In this paper, we aim to simplify this process by introducing a semantic knowledge distillation method that enables high-quality speech generation in a single stage. Our proposed model improves speech quality, intelligibility, and speaker similarity compared to a single-stage baseline. Although two-stage systems still lead in intelligibility, our model significantly narrows the gap while delivering comparable speech quality. These findings showcase the potential of single-stage models to achieve efficient, high-quality TTS with a more compact and streamlined architecture.

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Gerard I. Gállego, Roy Fejgin, Chunghsin Yeh, Xiaoyu Liu, Gautam Bhattacharya. 2024-09-17. Single-stage TTS with Masked Audio Token Modeling and Semantic Knowledge Distillation. https://arxiv.org/abs/2409.11003

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